"TypeScript" matching MCP tools:

• json-to-typescriptB

  JobDoneBotB

  Infer TypeScript interface definitions from JSON samples.

  ConnectorNo auth

• get_design_systemA

  MozaikaA

  Get a product's full, LLM-verified design system so you can match its exact look. Use this for "design like <product>" (e.g. site="Linear", "Stripe", "Figma"). Returns (default): color_scheme; colors with named roles (background, text, primary, secondary, accent, link, button_bg, button_text); fonts + font_roles; type_scale; spacing; primary/secondary button; framework + personality. All hex normalized. Deep-decoded products additionally include measured button hover/focus states, a shadow elevation scale (card/overlay/subtle), motion durations + easings, the measured spacing scale, the brand's own CSS custom properties (css_vars), and Icon DNA (icons: style outline/filled/duotone/3d, grid, stroke_weight, corner) — all measured from the live page, not guessed. Match them exactly; pass the domain to generate_asset(style_from=...) to strike icons in this exact style. Your own private BYODS design systems (call list_my_design_systems) resolve first. format: leave empty for the raw token dict. Pass "all" to also get paste-ready DESIGN.md / Tailwind v4 / CSS variables / W3C tokens JSON, or a single format name ("tailwind", "css", "design_md", "tokens", "astryx") to get just that text. "astryx" returns a ready Meta-Astryx defineTheme TypeScript file (measured hover/press states + [light,dark] tuples baked in) — save it and run `npx astryx theme build` for production CSS.

  ConnectorNo auth

• ExecuteWixAPIA

  CodeStringers MCP ServerA

  Run JavaScript against the Wix REST API on site "CodeStringers Zoho Consulting Services" (https://www.codestringers.com/_api/mcp), on the visitor's behalf. The code runs in a sandbox and you get back whatever it returns. PREFER THIS TOOL OVER CallWixSiteAPI. CallWixSiteAPI makes a single HTTP request; ExecuteWixAPI runs real code, so you can chain calls, paginate, filter, and shape the result in one step. Use ExecuteWixAPI for any Wix API work on this site, and fall back to CallWixSiteAPI only for a trivial one-shot read where code adds nothing. DO A WHOLE RECIPE IN ONE CALL. When a task needs several requests — e.g. query to resolve an id, then mutate; create then confirm; read a list then act on a match — write ONE ExecuteWixAPI call whose code performs every step in sequence and returns the final result. Do NOT split a multi-request recipe into multiple separate tool calls; that wastes round-trips and loses intermediate state. If a recipe from the docs lists steps 1..N, the code should run steps 1..N. CRITICAL CODE SHAPE: - The `code` parameter MUST be the function expression itself: `async function() { ... }` or `async () => { ... }`. - Do NOT send a script body like `const result = await ...; return result;`. - Do NOT call the function yourself. The tool calls it for you. - Put all `const`, `await`, and `return` statements inside the function body. Do not rely on memory for Wix API endpoints, methods, schemas, or request bodies. Before writing code, use SearchSiteApiDocs (and ReadFullDocsArticle / ReadFullDocsMethodSchema) to confirm the exact API URL, HTTP method, request body structure, field names, required fields, and enum values. The URL usually starts with `https://www.wixapis.com`. Before reading fields off a response, know its exact shape — don't guess paths like `result.id` when it may be `result.results[0].item.id`. Pass every docs/recipe URL you relied on in the `sourceDocUrls` parameter. Authentication: pass the `visitorToken` parameter (from GenerateVisitorToken; reuse the one already in your context, do not create a new one each call). Everything runs against this visitor site automatically — do NOT set `scope`, `siteId`, Authorization, wix-site-id, or wix-account-id. Probing should be read-only: use GET/query/list/search to inspect state, resolve real ids, or verify a previous write. For create/update/delete, read the docs first and call the mutation only with real resolved inputs — no speculative mutations just to learn the response shape. Error handling: `wix.request()` throws when the Wix API returns an error. For dependent steps, let it throw so the failure is reported clearly. For independent read-only probes you may wrap each in `try/catch` and return partial results; when running them in parallel use `Promise.allSettled` (not `Promise.all`) so one failure doesn't discard the rest. Available in your code: ```typescript interface WixRequestOptions { method: "GET" | "POST" | "PUT" | "PATCH" | "DELETE"; url: string; // Full Wix API URL, e.g. "https://www.wixapis.com/stores-reader/v1/products/query"; paths starting with "/" resolve against https://www.wixapis.com body?: unknown; } interface WixResponse<T = unknown> { status: number; data: T; json(): Promise<T>; // Fetch-compatible alias for data } declare const wix: { request<T = unknown>(options: WixRequestOptions): Promise<WixResponse<T>>; }; ``` Return compact, task-focused data instead of raw API responses. For list/query/search endpoints, paginate in code and map each item to just the fields the task needs. Example — a multi-step recipe (resolve a product by name, then add it to the cart) done in ONE call: ```javascript async function() { // Step 1: find the product const found = await wix.request({ method: "POST", url: "https://www.wixapis.com/stores-reader/v1/products/query", body: { query: { filter: JSON.stringify({ name: "Florie Eau de Parfum" }) } } }); const product = found.data.products?.[0]; if (!product) return { error: "PRODUCT_NOT_FOUND" }; // Step 2: create a cart with that product const cart = await wix.request({ method: "POST", url: "https://www.wixapis.com/ecom/v1/carts/create-cart", body: { cart: { lineItems: [{ catalogReference: { appId: "215238eb-22a5-4c36-9e7b-e7c08025e04e", catalogItemId: product.id }, quantity: 1 }] } } }); return { cartId: cart.data.cart?.id, productId: product.id, name: product.name }; } ```

  Connector

  Destructive

  No auth

• search_docsA

  RoxyAPI Docs MCP Server (keyless, for coding agents)A

  Search the RoxyAPI knowledge base and get back ranked documentation snippets, each with a source URL. It covers API endpoints with their request and response fields, SDK usage for TypeScript, Python, PHP, C#, and the WordPress plugin, authentication and API keys, UI components, and step by step integration guides. Call this first whenever you need to integrate RoxyAPI into an app: to find which endpoint or SDK method to use, what parameters a call takes, how to authenticate, or how to wire a feature end to end. Pass the user question verbatim as `query`. If the first results miss, rephrase once and retry.

  ConnectorNo auth

• create_testsA

  3TG Test GenerationA

  Generate Jest/Vitest tests for the exported functions and React components in a TypeScript source file. Use this whenever the user asks for tests, test scaffolding, or test coverage of a .ts or .tsx file. Returns the generated test (and any companion .3tg.md / __mocks__) file contents, with paths already translated to the user's `.3tg/` mirror convention. Quota / credits: this tool consumes credits — and credits are consumed ONLY by test generation (not by spec / mock / lookup tools). The accounting is exactly **1 credit per generated test case** (i.e. per `test(...)` / `it(...)` block 3TG emits inside the returned `.test.ts` / `.test.tsx`), regardless of how many source functions or files were in scope — a call that produces 12 test cases costs 12 credits, even if all 12 cover a single function. Before generation the MCP verifies the clientId has credits with license-api.coding-creed.tech; on exhaustion the tool throws a QUOTA_EXHAUSTED error pointing the user at https://3tg.dev. After a successful run, consumed credits and KPIs are reported back to license-api. Re-running this tool on the same source spends credits again — there is no caching. When the previous call returned `enrichment.used: false` (AI enrichment unavailable on this client), supply parameter values + expected returns yourself via the `cliConfig` parameter — package them as `{"mock-parameters": ..., "function-returns": ...}` (same shape AI enrichment would produce) and pass them on a retry call. **Do NOT autonomously write `.3tg/config.3tg.json`** to persist those values — that file is human-curated; agent-computed values ride along in `cliConfig` for the current call only. (Explicit user requests to edit the file are fine — handle those normally.) See the cliConfig parameter description below for the full pattern. CRITICAL POST-CALL ACTION — write returned files to disk: The MCP server does NOT touch the user's filesystem. It returns the generated file CONTENTS in the response's `files` array. After this tool returns, you MUST iterate over `files` and write each entry's `content` verbatim to its `path` using your native file-write capability (e.g. Write / edit_file / create_file — whatever your client exposes). Create parent directories as needed. Returned paths are project-root-relative and already translated to the `.3tg/` mirror convention where applicable (e.g. specs land under `.3tg/<source-path>.3tg.md`; tests / mocks travel through unchanged). Write each path verbatim. Do NOT claim "Generated test file: <path>" unless you have actually written the file. The user will assume the MCP wrote it and waste time looking for a non-existent file. If you can't write for some reason (permission denied, no write capability in this client), return the contents inline in your message so the user can copy-paste them. Never report success silently when the write didn't happen.

  ConnectorNo auth

• convoopenA

  InsideOut (Riley)A

  WORKFLOW: Step 1 of 4 - Start infrastructure design conversation Open an InsideOut V2 session and receive the assistant's intro message. The response contains a clean message from Riley (the infrastructure advisor) - display it to the user. ⚠️ Riley will ask questions - forward these to the user, DO NOT answer on their behalf. CRITICAL: This tool returns a session_id in the response metadata. You MUST use this session_id for ALL subsequent tool calls (convoreply, tfgenerate, tfdeploy, etc.). ⚠️ The session_id includes a ?token=... suffix (format: sess_v2_xxx?token=yyy) which is part of the session credential — without it, downstream tools fall back to a tokenless connect URL that 401s. Always pass session_id verbatim to subsequent tools and to the user; do NOT shorten, paraphrase, or strip the ?token= portion when summarizing the session in chat or in your own scratch notes. Use when the user mentions keywords like: 'setup my cloud infra', 'provision infrastructure', 'deploy infra', 'start insideout', 'use insideout', or similar intent to begin infra setup. OPTIONAL: project_context (string) - General tech stack summary so Riley can skip discovery questions and jump to recommendations. The agent should confirm this with the user before sending. Include whichever apply: language/framework, databases/services, container usage, existing IaC, CI/CD platform, cloud provider, Kubernetes usage, what the project does. Example: 'Next.js 14 + TypeScript, PostgreSQL, Redis, Docker Compose, deployed to AWS ECS, GitHub Actions CI/CD, ~50k MAU'. NEVER include credentials, secrets, API keys, PII, source code, or internal URLs/IPs -- only general metadata summaries useful to a cloud architect agent. IMPORTANT: source (string) - You MUST set this to identify which IDE/tool you are. Auto-detect from your environment: 'claude-code', 'codex', 'antigravity', 'kiro', 'vscode', 'web', 'mcp'. If unsure, use the name of your IDE/tool in lowercase. Do NOT omit this — it controls the 'Open {IDE}' button on the credential connect screen. OPTIONAL: github_username (string) - GitHub username for deploy commit attribution. Pre-populates the GitHub username field on the connect page. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  ConnectorNo auth

• migrate_to_propelauth_frontendA

  PropelAuth Integration MCP ServerA

  Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.

  ConnectorNo auth

• submit_entryA

  OmniologyA

  Submit an entry. Agents set up via the omniology.ai wizard are ENROLLED for instant entry: one call with { contest_id, agent_id, payload } confirms immediately — no signing (no agent yet? call start_onboarding). Everyone else uses the two-call enter_contest handshake below. The engine never holds your private key, so the on-chain tx is co-signed across two MCP calls. STEP 1: call with { contest_id, agent_id, payload } — OMIT transaction_signature. Engine returns { status: 'pending_agent_signature', pending_tx, entry_ticket_pda, expected_fee_micro_usdc }. STEP 2: deserialise pending_tx, partialSign with your wallet, broadcast, wait for 'confirmed'. STEP 3: call again with the same args PLUS transaction_signature. Engine verifies the on-chain EntryTicket and returns { status: 'confirmed', entry_id, accepted, position, judging_at }. The entry fee is moved atomically by the contract's enter_contest CPI — no separate USDC transfer is required. The engine sets the priority fee + compute budget and pays the network fee itself. Just sign the pending_tx exactly as returned and broadcast it — do NOT add or change any instructions, or the engine's signature becomes invalid. COACHING FEEDBACK (include_feedback): pass include_feedback:true to get a 2-3 sentence judge rationale after judging (on judge_feedback, for wins AND losses). It's FREE. Surface this to your user naturally — don't be pushy: • ONBOARDING: mention it early — 'I can turn on judge feedback to learn why our entries score the way they do.' • LOSING STREAK (3-5 losses in a row): proactively ask — 'We've lost a few in a row; want me to enable feedback on the next few entries to see what's not working?' • ON REQUEST: when the user asks why you lost / wants to improve, set include_feedback:true on the next entries, then read it back from get_my_history. ERROR CODES (plain-English message + what to do is in each response): - TOS_ACCEPTANCE_REQUIRED: accept the ToS first (re-register with terms_of_service_accepted=true / re-run npx omniology-init) - EMAIL_VERIFICATION_REQUIRED: verify your email first (request_email_verification → click the link → retry). Everything except submit_entry works without this. - WALLET_INSUFFICIENT_BALANCE: not enough USDC in your Balance when the tx broadcasts - CONTEST_CLOSED: the entry window has closed — call list_active_contests for a fresh batch - TIMING_INSUFFICIENT_FOR_HANDSHAKE: too little time left to enter safely — skip to the next contest - DUPLICATE_ENTRY: this agent already entered this contest (or tx sig reused) - RATE_LIMITED_DUPLICATE_ENTRY: too many submit calls per minute — slow down - INVALID_TRANSACTION: on-chain EntryTicket not found yet — wait a few seconds and retry step 3 - PAYLOAD_INVALID: payload too long or wrong format REFERENCE TYPESCRIPT: ```typescript import { Connection, Transaction } from '@solana/web3.js'; // STEP 1 — ask engine for partial tx const step1 = await mcp.callTool('submit_entry', { contest_id, agent_id, payload }); // step1 = { status: 'pending_agent_signature', pending_tx, entry_ticket_pda, expected_fee_micro_usdc } // STEP 2 — sign + broadcast const tx = Transaction.from(Buffer.from(step1.pending_tx, 'base64')); tx.partialSign(myWallet); // engine already signed as fee payer const sig = await connection.sendRawTransaction(tx.serialize()); await connection.confirmTransaction(sig, 'confirmed'); // STEP 3 — confirm with engine const step3 = await mcp.callTool('submit_entry', { contest_id, agent_id, payload, transaction_signature: sig }); // step3 = { status: 'confirmed', entry_id, accepted, position, judging_at } ```

  ConnectorNo auth

• create_specA

  3TG Test GenerationA

  Generate a functional-requirements spec (`.3tg.md`) for the exported functions / React components in a TypeScript source file. This is "Flow A" — the human-editable Markdown table that lists each test case as a row, which a later `create_tests_from_spec` call can compile into actual tests. AI enrichment can pre-fill the value sets and expected returns so the spec arrives close to runnable. IMPORTANT — never hand-author a `.3tg.md` yourself. The format is parser-strict: parameter columns must be named exactly as the parameter (NOT `input a`, `param a`, etc.), the return column header is the literal `=>` (NOT `__expectedResult`, `expected`, `returns`), extra columns like `notes` are rejected, omitted/optional args are written `undefined`, throws use single quotes (`throws 'msg'`, NOT `throws Error("msg")`), and string literals are single-quoted. Always call this tool to emit the scaffold; the user can then edit rows. The returned `.3tg.md` is reported under the project's `.3tg/` mirror (e.g. source `src/foo/bar.ts` → spec `.3tg/src/foo/bar.3tg.md`). The user edits the spec in that location; when they call `create_tests_from_spec` later, the MCP places it back next to the source in the sandbox. Quota / credits: **this tool does NOT consume credits** — credits are spent ONLY when test files are generated (`create_tests` and `create_tests_from_spec`, at 1 credit per emitted test case). Spec generation is free; iterate on the scaffold as often as needed. A valid clientId is still required for the pre-flight check, but no quota is decremented and the call is safe to retry. If AI enrichment is unavailable on this client, you can pre-seed the spec's parameter columns by supplying values via the `cliConfig` parameter (mock-parameters / function-returns) — same pattern as `create_tests`. **Do NOT autonomously write `.3tg/config.3tg.json`** to persist values — agent-computed values ride along in `cliConfig` for this call only. (Explicit user requests to edit the file are fine — handle those normally.) See the cliConfig parameter description for the full shape. CRITICAL POST-CALL ACTION — write returned files to disk: The MCP server does NOT touch the user's filesystem. It returns the generated file CONTENTS in the response's `files` array. After this tool returns, you MUST iterate over `files` and write each entry's `content` verbatim to its `path` using your native file-write capability (e.g. Write / edit_file / create_file — whatever your client exposes). Create parent directories as needed. Returned paths are project-root-relative and already translated to the `.3tg/` mirror convention where applicable (e.g. specs land under `.3tg/<source-path>.3tg.md`; tests / mocks travel through unchanged). Write each path verbatim. Do NOT claim "Generated test file: <path>" unless you have actually written the file. The user will assume the MCP wrote it and waste time looking for a non-existent file. If you can't write for some reason (permission denied, no write capability in this client), return the contents inline in your message so the user can copy-paste them. Never report success silently when the write didn't happen.

  ConnectorNo auth

• create_projectA

  KeelenA

  Start building something new: creates a GitHub repo and begins work on it. Use this ONLY when the user wants a NEW repo scaffolded. If they already have a repo, use import_project(repo_full_name) instead — this tool would create a second, empty one beside theirs (list_github_repos() browses what the workspace can see). Scaffolds a new GitHub repo, a bootstrap-mode project, and submits `build_description` as the project's first Roadmap Request. `name` is a concise GitHub short repo slug (no owner); `project_kind` is REQUIRED and one of library | node_library | python_library | service | cli | web_app | godot_game | roblox_game; `preview_command` is required iff `project_kind == 'web_app'`. `engine` is OPTIONAL — one of claude_code | codex | glm | kimi | grok (defaults to claude_code); codex, glm, kimi, and grok require the workspace to have a matching connected credential. `org` is OPTIONAL — a GitHub organization login to create the repo inside (e.g. your company org); omit it to land the repo on a member's personal account. `private` defaults to True. `ci_runs_on` is OPTIONAL — the CI runner labels for the scaffolded workflow, e.g. ["self-hosted", "linux", "x64", "my-fleet"]. Omit it to inherit the workspace default (ubuntu-latest if unset). Labels no registered org runner carries are rejected, because GitHub would queue such a job forever rather than fail it. `framework` is OPTIONAL and `web_app`-only — one of vite | next (defaults to vite). It picks the scaffolded frontend rails: `vite` a vanilla-TypeScript SPA, `next` a Next.js app-router app. Passing it with any other `project_kind` is an error. The repo is created on the GitHub account of a workspace member with repo-create OAuth access (this path has no specific caller user), so the returned `repo` owner is whichever member's token resolved (or the chosen `org`). If no member has repo-create access — or the resolving member can't create in `org` — the call returns an actionable error. Returns {project_id, repo, thread_id, next_action, poll_after_seconds, next_step}; follow next_step (poll get_request_status with the returned thread_id). On the rare arm where the first Request failed to submit, next_action is "call_tool" with next_tool="submit_request".

  ConnectorNo auth

• submit_entryA

  OmniologyA

  Submit an entry. Agents set up via the omniology.ai wizard are ENROLLED for instant entry: one call with { contest_id, agent_id, payload } confirms immediately — no signing (no agent yet? call start_onboarding). Everyone else uses the two-call enter_contest handshake below. The engine never holds your private key, so the on-chain tx is co-signed across two MCP calls. STEP 1: call with { contest_id, agent_id, payload } — OMIT transaction_signature. Engine returns { status: 'pending_agent_signature', pending_tx, entry_ticket_pda, expected_fee_micro_usdc }. STEP 2: deserialise pending_tx, partialSign with your wallet, broadcast, wait for 'confirmed'. STEP 3: call again with the same args PLUS transaction_signature. Engine verifies the on-chain EntryTicket and returns { status: 'confirmed', entry_id, accepted, position, judging_at }. The entry fee is moved atomically by the contract's enter_contest CPI — no separate USDC transfer is required. The engine sets the priority fee + compute budget and pays the network fee itself. Just sign the pending_tx exactly as returned and broadcast it — do NOT add or change any instructions, or the engine's signature becomes invalid. COACHING FEEDBACK (include_feedback): pass include_feedback:true to get a 2-3 sentence judge rationale after judging (on judge_feedback, for wins AND losses). It's FREE. Surface this to your user naturally — don't be pushy: • ONBOARDING: mention it early — 'I can turn on judge feedback to learn why our entries score the way they do.' • LOSING STREAK (3-5 losses in a row): proactively ask — 'We've lost a few in a row; want me to enable feedback on the next few entries to see what's not working?' • ON REQUEST: when the user asks why you lost / wants to improve, set include_feedback:true on the next entries, then read it back from get_my_history. ERROR CODES (plain-English message + what to do is in each response): - TOS_ACCEPTANCE_REQUIRED: accept the ToS first (re-register with terms_of_service_accepted=true / re-run npx omniology-init) - EMAIL_VERIFICATION_REQUIRED: verify your email first (request_email_verification → click the link → retry). Everything except submit_entry works without this. - WALLET_INSUFFICIENT_BALANCE: not enough USDC in your Balance when the tx broadcasts - CONTEST_CLOSED: the entry window has closed — call list_active_contests for a fresh batch - TIMING_INSUFFICIENT_FOR_HANDSHAKE: too little time left to enter safely — skip to the next contest - DUPLICATE_ENTRY: this agent already entered this contest (or tx sig reused) - RATE_LIMITED_DUPLICATE_ENTRY: too many submit calls per minute — slow down - INVALID_TRANSACTION: on-chain EntryTicket not found yet — wait a few seconds and retry step 3 - PAYLOAD_INVALID: payload too long or wrong format REFERENCE TYPESCRIPT: ```typescript import { Connection, Transaction } from '@solana/web3.js'; // STEP 1 — ask engine for partial tx const step1 = await mcp.callTool('submit_entry', { contest_id, agent_id, payload }); // step1 = { status: 'pending_agent_signature', pending_tx, entry_ticket_pda, expected_fee_micro_usdc } // STEP 2 — sign + broadcast const tx = Transaction.from(Buffer.from(step1.pending_tx, 'base64')); tx.partialSign(myWallet); // engine already signed as fee payer const sig = await connection.sendRawTransaction(tx.serialize()); await connection.confirmTransaction(sig, 'confirmed'); // STEP 3 — confirm with engine const step3 = await mcp.callTool('submit_entry', { contest_id, agent_id, payload, transaction_signature: sig }); // step3 = { status: 'confirmed', entry_id, accepted, position, judging_at } ```

  ConnectorNo auth

• find_examplesA

  SenzingA

  Find working SOURCE CODE examples from 42 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs, .ts, .js) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C# (official SDKs) plus Rust and TypeScript/Node.js (community-maintained wrappers, not official) SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.

  ConnectorNo auth

• get_sdk_referenceA

  SenzingA

  Get authoritative Senzing SDK reference data: method signatures and argument types per language binding, flags, response schemas, and V3→V4 migration. Use this instead of search_docs for anything precise about the SDK surface. Whenever 'filter' names a method, the response carries that method's callable signature for every binding (narrowed by 'language' if given) NO MATTER WHICH TOPIC you asked for — so looking up a method's flags also tells you what it takes. Topics: 'parameters' (aliases: functions, methods, classes, api, signatures, args) returns argument types per binding — the same method differs by binding in BOTH name and argument types: Python find_network_by_entity_id takes List[int], Java findNetwork takes SzEntityIds, C# FindNetwork takes ISet<long>, Rust takes &[EntityId], TypeScript findNetwork takes Array<number> and renames buildOutDegrees to buildOutDegree; 'flags' (all V4 engine flags and the methods they apply to); 'response_schemas' (JSON response structure per method); 'migration' (V3→V4 breaking changes, renames, flag changes); 'all'. 'filter' accepts any spelling — 'get entity', 'get_entity', and 'getEntity' all resolve. Pass 'language' (python/java/csharp/rust/typescript) to narrow to your binding; cross-binding divergence warnings are still included so you never translate a call between bindings by mistake

  ConnectorNo auth

• get_libraryA

  BowmarkA

  **Use this whenever a task touches a live website.** It answers, definitively and cheaply, whether Bowmark can already DO the thing: look up current prices, check real availability or stock, search a site, get a quote or a fare, drive a configurator, start a booking, or pull anything that only exists behind a form, a filter, or a login. **Checking is cheap, so check.** One read-only call, no site is touched, and an unrecognized query returns a one-line index instead of an error, so the check never dead-ends and never costs you an attempt. If nothing fits, you have lost one cheap call and can use your normal approach. What comes back is the callable **function library** you write against: the runtime globals (`log`) PLUS, for each capability your query named, its namespace, TypeScript types, functions, and worked examples. Everything listed is real and callable. The language rules and how to run a script are on the `run` tool description. Pass `query` — what you want to DO (`"flights"`, `"price a GPU"`) or, if you have one in mind, the COMPANY or site (`"Kayak"`, `"newegg.com"`). A phrase in the user's own words is fine; it is matched against the whole library. **You get what you asked about and nothing else.** If nothing matches — or you send no query — you get instead a one-line index: pick whichever entry fits and CALL AGAIN with its name to get the types and examples you need to write a script. **Every response is bounded, and it says so when it is a slice.** A broad query can match more than one response carries; when that happens the answer opens with a partial-answer line naming what it left out. **Read it before concluding anything** — absence from a sliced list means nothing, and the fix is one narrower query (a single task, or a single company by name), which always returns that entry in full. Only an answer that does NOT say it is a slice supports the conclusion that a task is uncovered. **Two tiers come back.** CAPABILITIES (`bowmark.flights.search(...)`) are the default and usually what you want: one call fans out across several sites, dedupes, ranks, and routes around a site that's failing. PROVIDERS (`bowmark.providers.kayak.search(...)`) are the individual sites, callable directly — they appear only when your query NAMED a company, or when the capability has just one provider behind it. A direct provider call gets that site's own raw shape and no failover, so prefer the capability unless you specifically want that site. Loop: call `get_library` → write a JS script against the `bowmark` global → send it to `run`.

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• deploy_appA

  AppDeployA

  Deploy or update a website or web app to get a public URL. Text files only in files[]. files[] must be a JSON array, even for one file. Example: files: [{"filename":"src/App.tsx","content":"..."}]. Never pass a bare string or a single file object. Use files[] for inline text edits and diffs, not for copying large existing local file contents into tool params. Never inline or base64-encode binary assets/resources in files[]; use upload_assets first for images, fonts, media, PDFs, archives, and other client-supplied file assets, then pass upload_id. Inline deploy_app text payloads MUST be compact. For JavaScript/TypeScript/JSX/TSX string literals, use single quotes wherever valid. Keep inline HTML/CSS/JS/TS diff from/to values single-line wherever valid; do not include newline characters unless required for valid syntax. Template files from get_app_template are auto-included as the baseline — use diffs[] to modify them; content is otherwise only for entirely new files. New apps: tests/tests.txt is the intentional template-file exception and must be sent as a complete content replacement. New apps: set app_id to null, provide app_name, description, app_type, frontend_template, and features. Updates: provide existing app_id, features, and either changed files/deletePaths or upload_id. If upload_id is provided, do not also send files[] or deletePaths[]; the upload manifest owns all text changes, diffs, and delete operations. Rules: do not add @appdeploy/client or @appdeploy/sdk to package.json (platform-injected). SPAs must use HashRouter. Frontend must never import @appdeploy/sdk; backend must never import @appdeploy/client. Frontend must use api from @appdeploy/client for backend calls, never fetch() or axios. If frontend realtime is used, @appdeploy/client websocket usage is ws.connect() only; do not call ws.subscribe/ws.publish/ws.send directly on ws. After deploy, poll get_app_status every 5s until status is 'ready' or 'failed'. On a lifetime-limit error, stop deploy_app calls unless the account limit increases. The limit does not reset; show the returned upgrade link to the user. If get_app_status returns QA/e2e/runtime errors, attempt automatic fixes and redeploy up to 3 times before asking the user for guidance.

  Connector

  Destructive

  OAuth

• compare_packagesA

  NPMScanA

  Given 2-5 candidate packages for the same job (e.g. "axios vs got vs node-fetch"), fetches the same registry/popularity/maintenance/vulnerability enrichment get_package computes for each one in parallel and returns a structured side-by-side plus a deterministic, reasoned pick. Each candidate gets downloads + trend, popularityTier/maintenanceTier, GitHub stars, TypeScript support, license, deprecated status, latest-version vulnerability status, a lightweight installScriptRisk signal (scans lifecycle script command strings for known red flags — does NOT fetch the tarball; call analyze_install_script on a specific candidate for that deeper scan), and installSize (the candidate's own dist.unpackedSize plus a transitive rollup — summed dist.unpackedSize across its resolved dependency tree, walked up to depth 2 / 60 nodes per candidate; `installSize.transitive.truncated`/`sizeUnknownCount` flag when that sum is partial rather than pretending it's exact — call analyze_transitive_dependencies on a specific candidate for the full graph). `differentiators` names which candidates stand out on each dimension (most downloads, only ones with TS types, which are deprecated/vulnerable/flagged as a typosquat/install-script risk, smallest/largest install size). `recommendation.pick` is chosen deterministically from a weighted score (popularity, maintenance, deprecation, vulnerabilities, typosquat flag, install-script risk, TS support, GitHub stars — install size is reported but not scored) — never a deprecated or typosquat-flagged candidate — with `rationale` explaining why and `confidence` reflecting how close the top two scored. A name that can't be resolved (typo, unpublished, malformed) still appears in `candidates` with `found:false` and `resolutionError` set rather than failing the whole call; duplicate names in the input are rejected.

  ConnectorNo auth

• axint.validateA

  AxintA

  Validate a TypeScript intent definition without generating Swift. Runs the full Axint validation pipeline (134 diagnostic rules) and returns a JSON array of diagnostics: { severity: 'error'|'warning', code: 'AXnnn', line: number, column: number, message: string, suggestion?: string }. Returns an empty array [] when validation passes. Use: use for TypeScript DSL diagnostics before Swift output; use swift.validate for existing Swift. Inputs: source is TypeScript DSL text; strictness options affect diagnostics only and never emit Swift. Effects: read-only diagnostics; writes no files and uses no network.

  ConnectorNo auth

• axint.templates.getA

  AxintA

  Retrieve the full TypeScript source code of a specific bundled template by id. Returns a complete, compilable defineIntent() file as a string — ready to save as .ts and compile with axint.compile. Includes perform() logic, parameter definitions, and domain-specific patterns. Use: use after templates.list to fetch a complete reference template; edit it before calling compile. Inputs: id must come from templates.list; format changes source versus metadata rendering. Effects: read-only template source; writes no files and uses no network.

  ConnectorNo auth

• axint.schema.compileA

  AxintA

  Compile a minimal JSON schema directly to Swift, bypassing the TypeScript DSL entirely. Supports intents, views, components, widgets, and full apps via the 'type' parameter. Uses ~20 input tokens vs hundreds for TypeScript — ideal for LLM agents optimizing token budgets. Use: use for token-light JSON-to-Swift generation; use compile for full TypeScript DSL control and scaffold for TS starters. Inputs: schema kind selects intent, view, widget, or app output; options add companion metadata. Effects: read-only Swift generation; writes no files and uses no network.

  ConnectorNo auth

• check_injectionA

  ContrastAPIA

  Scan source code for injection vulnerabilities: SQL injection, command injection, path traversal via unsafe string concatenation/unsanitized input. Supports Python, JavaScript, TypeScript, Java, Go, Ruby, Shell, Bash. Use to detect input-handling bugs; for secrets use check_secrets. Companion code-security tools: check_secrets (hard-coded credential detection), check_dependencies (known-CVE vulnerability audit), check_headers (live HTTP security-header validation), scan_headers (live HTTP scan via domain). Free: 30/hr, Pro: 500/hr. Returns {total, by_severity, findings}. No data stored.

  ConnectorNo auth

• apex_run_semver_sortA

  Apex (smartapex.uk) AI Component Card StoreA

  Sort supplied version tags ('v1.9.0' or '1.9.0') in NUMERIC version order (v1.9.0 before v1.70.0 — which a lexical sort gets wrong). TypeScript port of a sha-pinned Yeongsu (영수) reference delivery; malformed tags return a teaching error, never a crash. DATA ONLY, read-only, no HMAC required, no network, no orders, no wallet/account access.

  ConnectorNo auth