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520,260 tools. Updated 2026-09-06 09:34

"Axios" matching MCP tools:

  • Post-process a RAW generated mesh (normalize → mesh-repair → rig/skin → validate → export) and return the finished, validated GLB as base64. The inline counterpart of axis_process (which needs a server file path) — the generation post-process step, callable by an LLM/agent that holds the mesh bytes (e.g. fresh TRELLIS output) or a URL to them. Provide the mesh EXACTLY one of two ways: inline as base64 (glb_base64) or as an HTTPS URL (mesh_url) — the URL's host must be on this server's operator-configured allowlist (off by default; an unconfigured allowlist refuses every mesh_url call, it is never open to an arbitrary host). Providing both or neither is a real input error. [Paid: $1.50 USDC via x402 for unauthenticated calls on the hosted /mcp endpoint; settled only on a successful (non-error) result.]
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  • 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.
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    Destructive
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  • 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.
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  • PAID (x402, 6 USDC): generate a production 3D avatar from a reference photo (base64) — xAI A-pose normalize → TRELLIS.2 GPU mesh → full canonical post-process. Payment settles ONLY when generation completes; a failed generation is never charged. Returns a job_id — poll with the free get_generation_status tool (typical runtime 5-15 minutes). Pass idempotency_key when a retry is possible (timeout/5xx) — replaying the same key returns the original job_id instead of a second GPU job/charge. [Paid: $6.00 USDC via x402 for unauthenticated calls on the hosted /mcp endpoint; DEFERRED settlement — charged only when the generation job completes, a failed job is never charged. Poll get_generation_status (free).]
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  • Given one package and two versions (from -> to), returns a structured upgrade analysis: semver classification, GitHub release notes summary, detected breaking changes, security advisories fixed in the range, migration guide links, and a clear recommendation. Use when the user asks about a specific package upgrade ('what changed between react 18 and 19', 'is it safe to bump axios from 0.27 to 1.0', 'what does upgrading lodash 4.17.20 to 4.17.21 fix'). Supports npm, pypi, and github-actions (use the action reference as the name, e.g. actions/checkout). For analyzing many packages at once or a Dependabot batch, use analyze_packages_bulk instead.
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  • Returns a ranked, deadline-aware list of open Base ecosystem funding programs (grants, accelerators, hackathons, retro-funding). Each result cites source_url, deadline, funding_range_usd, and last_verified_at. Stale entries are flagged. Designed for agents and builders shipping on Base who need a single call to surface the next applicable funding deadline.
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Matching MCP Servers

  • A
    license
    B
    quality
    D
    maintenance
    A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).
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    ISC

Matching MCP Connectors

  • Verified answers with named sources: UK parking appeals, NYC dismissal rates, UK MTD tax facts.

  • EQIQs Workplace Dynamics & Psychometric Compatibility Scoring

  • Returns invocation guidance for executing a paid extraction job after extract.estimate. Payment is x402 USDC on Base, amount equals cost_breakdown.price_usdc from the estimate (clamped onto the 5-tier ladder: $0.10 / $0.50 / $1.00 / $2.50 / $5.00). Result delivery: job_id + result + grade (A/B/C/D) + result_url. Grade D triggers 80% auto-refund. MCP cannot carry the X-PAYMENT header, so this tool returns the endpoint + price; execute the paid POST directly with an x402 client (x402-fetch, x402-axios).
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  • Returns a 0-100 JavaScript/npm ecosystem momentum score (weekly downloads of 8 bellwether packages — react, express, lodash, axios, typescript, next, vue, webpack — vs 3 prior weekday-aligned weeks; 50 = flat) with per-package volumes and WoW changes, total weekly downloads, top_package, and fastest_grower. Call when the user asks whether the JS/npm ecosystem is growing or cooling or which packages are moving, or when timing devtools launches or developer-marketing spend. Python: ADW-588. Updates: daily.
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  • Inspect an avatar's contract state and provenance chain (stage, bone/vertex counts, provenance step count, chain_valid + any broken links). Does not return a quality grade — use axis_validate for pass/warn/fail rule results. [Paid: $0.10 USDC via x402 for unauthenticated calls on the hosted /mcp endpoint; settled only on a successful (non-error) result.]
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  • 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.
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  • Work out the deadlines that follow from a private parking charge notice: when the discounted amount ends, when the appeal to the operator is due, and when the independent appeal to POPLA or the IAS is due. Give the notice date; give the operator to get the correct independent body and window, and the rejection date to get an actual independent-appeal date rather than a number of days.
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  • One MTD answer in full: the question, the short answer, the complete plain-text body, the FAQ pairs, and every GOV.UK/HMRC source page the answer rests on. Use the slug from search_mtd_answers.
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  • Audit an x402-gated endpoint by probing its 402 envelope, agent-card.json, well-known surfaces, and response headers. Returns a closed-vocabulary verdict plus 3-7 scored recommendations across pricing, bundling, discoverability, envelope correctness, rate limiting, tier expansion, facilitator choice, and schema clarity. Each recommendation cites the observed current-state value as evidence.
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  • Design a non-security token strategy for an autonomous agent. Returns a deployable spec: symbol, supply, distribution allocations summing to 100, OpenZeppelin contract templates (ERC20, ERC4626, ERC721), fair-launch defaults, a six-criterion non-security checklist, an estimated Base deploy cost, and a curated risks list covering Sybil, LP rug, and key-compromise vectors.
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  • Live Base network gas tracker. Returns current gas price in gwei, base fee, priority fee (tip), and a block history showing recent gas trends. Useful for timing transactions and estimating costs. $0.01/call.
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  • Prescriptive migration plan between DIFFERENT packages — rationale + literal code diff + breaking changes + effort minutes. USE WHEN: replacing `request`→`axios`, `moment`→`dayjs`, `flask`→`fastapi`, etc.; both endpoints known. RETURNS: {rationale, diff, breaking_changes[], estimated_minutes}.
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  • Typosquatting detection optimised for the top 500 frontend packages (React, Vite, Axios, Lodash, etc.). Fewer false positives than a full npm scan. For backend packages, use security_detect_typosquatting instead. package_name: Package name to check. Required. ecosystem: npm or pypi — default npm. Uses Damerau-Levenshtein distance ≤ 2 against a curated frontend-package corpus. Returns is_likely_typosquat, closest_match, distance, and risk_level (LOW/MEDIUM/HIGH). Read-only. No side effects. Idempotent. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="frontend_security_detect_typosquatting", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
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  • How New York City parking and camera tickets are actually decided at hearing, violation type by violation type — the share dismissed outright and the share dismissed or reduced, computed from the City's own published hearing records (119.8M rows). Give a violation to get its rates (partial names match, e.g. 'SIDEWALK' or 'MUNI METER'); omit it for a ranking of all 80 violation types.
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  • Scans an MCP server manifest or endpoint for security vulnerabilities — prompt injection in tool descriptions, exfiltration vectors, unbounded resource access, privilege escalation, schema mismatches, transport security issues, and over-permissive scopes. Returns a structured risk report with severity levels and remediation guidance.
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  • Fetch live prediction market odds from Polymarket. Returns current probabilities, volume, liquidity, and resolution status for any active or resolved market. Accepts a market slug or keyword search term. $0.01/call.
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  • Comprehensive GitHub repository health audit. Scores repos 0-100 across 8 categories: activity, community, maintenance, contributors, security (via OpenSSF Scorecard), CI/CD, documentation, and popularity. Returns letter grade, per-category scores, 20+ individual checks with evidence, and prioritized recommendations sorted by impact. All checks run via GitHub API — no clone required. Free: 50 calls/IP/day.
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