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521,045 tools. Updated 2026-09-06 09:34

"How to connect to Azure SQL database" matching MCP tools:

  • Run a read-only SQL query against an app's Postgres database and return up to 200 result rows. SELECT only — writes and DDL (INSERT/UPDATE/DELETE/ALTER/DROP/…) are rejected server-side; use vibekit_chat or vibekit_submit_task to have the agent make data or schema changes. Call vibekit_db_schema first to learn the tables. SQL string, max 5000 chars.
    ConnectorNo auth
  • Read-only natural-language query over your agent's memory — SELECT / aggregate / JOIN over existing data. Guaranteed never to write, create, or modify: a request whose plan would change data is refused (use nlqdb_query for that), so this tool is safe to mark 'always allow' in your host. Auto-targets your only database; pass `db` to pick one when you have several. Returns rows + the compiled SQL in trace.
    ConnectorOAuth
  • Answer what the user's project is — name, stack, how to run/test/build, auth, database, deploy, folder layout — from their files on disk, not from training data. ALWAYS call this before you invent npm/pip/cargo commands or read package.json yourself. ALWAYS call when the user says: what is this app, what's the stack, how do I run it, how do I test, is this a monorepo, where is auth, what database, how do we deploy. If they named Zephex or MCP, call this first on their project. One topic per call. Start with topic=identity on a new folder, then follow next_calls (usually run or framework). Other topics: backend, frontend, database, auth, deploy, structure, integrations, security. This is the user's machine, any project: Node, Python, Go, Rust, Java, PHP, a monorepo, an unsaved folder. Local/stdio: omit path to use the editor cwd, or pass path as their project folder. No disk on this transport: inline_files with package.json or pyproject.toml/go.mod/Cargo.toml plus 2–4 source files. Returns topic, summary, data (identity, commands, key_paths), hint, next_calls. Copy dev/test/build from data — do not guess bun vs npm vs uv. Not for finding a function name (find_code) or reading a file body (read_code). Those come after you know what the project is. Example: get_project_context({ topic: "identity" }) then get_project_context({ topic: "run" }). Also call topic=auth before touching login, topic=database before schema work, topic=structure when you need the folder map. force:true if the project just changed. Brief is enough for orientation; do not skip this tool to save a round-trip — one identity call replaces reading several manifests.
    ConnectorNo auth
  • Show your account's compute, database-RAM, and storage pools: how much you've bought, how much is used, and how much is free, plus every app's current size. Call this before any resize tool (the allowed sizes come from its steps fields), and to explain to the user why an app ran out of memory or a deploy was refused for capacity.
    ConnectorNo auth
  • Get the wiring instructions for connecting an MCP client to ~alter. The name is historical and this recommends nothing: it hands back connection details, not a suggested tool. Use it when adding ~alter to a new MCP client, or when passing the endpoint to another agent so it can connect for itself. Returns the MCP endpoint URL, a ready-to-paste JSON configuration snippet, and how many tools are callable at each tier. Takes no parameters and reads no member data. Free L0, no authentication required.
    ConnectorNo auth
  • Returns the prepaid spending balance of the connected PikaSim agent wallet, in USD. Read-only; makes no changes. Call this before purchase_esim or purchase_phone_plan to confirm sufficient funds, or any time you need the current balance. Requires a connected agent wallet (OAuth or ak_live_ key). If no wallet is connected, the result explains how to connect one.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.
    12
    0
    MIT
  • A
    license
    Not graded
    quality
    C
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    MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.
    MIT

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Convert JSON samples into TypeScript interfaces and Zod schemas, with inference caveats.

  • Use this read-only tool to check whether the Azure-native ATLAS-7 full-universe regression audit is healthy. It reads the latest audit summary artifact from Azure Blob and reports last successful run time, issuer count, operation count, failure counts, historical route status, composite route status, and artifact prefix. Parameters: none. Behavior: read-only and idempotent; it has no destructive side effects, does not run the audit, mutate data, or access raw issuer evidence. Use this before trusting historical ATLAS-7 surfaces in an agent workflow or when an operator asks whether the nightly 215-issuer audit is current.
    ConnectorNo auth
  • Use this read-only tool to check whether the Azure-native ATLAS-7 full-universe regression audit is healthy. It reads the latest audit summary artifact from Azure Blob and reports last successful run time, issuer count, operation count, failure counts, historical route status, composite route status, and artifact prefix. Parameters: none. Behavior: read-only and idempotent; it has no destructive side effects, does not run the audit, mutate data, or access raw issuer evidence. Use this before trusting historical ATLAS-7 surfaces in an agent workflow or when an operator asks whether the nightly 215-issuer audit is current.
    ConnectorNo auth
  • Scan text or code for leaked secrets: API keys (AWS, GCP, Azure, OpenAI, Anthropic, Stripe, GitHub, GitLab, Slack, Twilio, SendGrid, HuggingFace), private keys (RSA/EC/PGP), JWTs, database connection strings, Bearer tokens, and Basic auth headers. Returns a list of findings with type, severity, line number, and a redacted preview. Use before committing code, sharing logs, or sending text to an LLM. 100% regex-based, zero network calls.
    ConnectorNo auth
  • List the SQL databases (D1 or Neon Postgres) on my account, including which owned site (if any) each is attached to. Call this BEFORE db_query/db_schema-style work to discover a databaseId — those live on a per-database MCP server reached via GET /api/v1/databases/{id} (see llms.txt), which this id feeds.
    ConnectorNo auth
  • Return the directory's current totals and breakdowns: how many studios are listed, and how they split by country, region, service, engine, platform and team size. Use for any "how many studios..." or "which country has the most..." question, and quote these figures rather than counting search results yourself — they are recomputed from the live database and the counts move.
    ConnectorNo auth
  • Securely register the D365 F&O environment's Application Insights / Log Analytics connection for the CURRENT session. The client secret is encrypted in memory (AES-256-GCM), never written to disk and never echoed back. Once set, appinsights_query and appinsights_diagnose_slowness use it automatically until it expires or you call appinsights_clear_connection. HOW TO GET THE VALUES: workspaceId -- the Log Analytics WORKSPACE ID (GUID, not the App Insights app id) behind the Application Insights resource the environment is linked to (D365FO: System administration > Monitoring and Telemetry parameters > Application Insights Registry tab shows the connection string; the workspace id is on that Log Analytics workspace resource's Overview blade in the Azure Portal). tenantId/clientId/clientSecret -- an Entra ID app registration granted the 'Log Analytics Reader' (or 'Monitoring Reader') role on that workspace resource (Azure Portal > workspace > Access control (IAM) > Add role assignment). Read-only -- no write access is ever needed or used. In a locked server deployment (APPINSIGHTS_LOCK_SERVER_CONFIG=true) this tool is disabled and the server's own environment credentials are used instead.
    ConnectorNo auth
  • Inspect the schema of the local finbridge database (SQLite with ingested KR/US company fundamentals, filings, and daily prices): tables, views, columns, per-table row counts (cached 5 minutes), and ready-to-run example queries for query_db. Args: (none) Returns: {tables: [{name, columns: [{name, type}], rows}], views: [{name, columns: [{name, type}]}], examples: [sql_string]} Key objects: - companies: KR companies have source='dart' + stock_code (6-digit), US companies source='edgar' + ticker - financials: one row per company x fiscal_year x quarter (quarter=0 = annual); raw unscaled KRW/USD amounts - prices_daily: daily OHLCV per company_id - views v_financials (financials joined with company name/ticker/stock_code) and v_latest_annual (latest annual row per company) — prefer these in query_db Examples: - Call before writing SQL for query_db, to learn table/column names. - Check row counts to see how much data the nightly ingest has loaded. Use when: preparing a query_db, or checking ingest coverage. Don't use for live market data (use the dart_/edgar_/fred_/crypto_ tools). Errors: 'database has not been built yet' — the ingest pipeline has not run on the server.
    ConnectorOAuth
  • Inspect the schema of the local finbridge database (SQLite with ingested KR/US company fundamentals, filings, and daily prices): tables, views, columns, per-table row counts (cached 5 minutes), and ready-to-run example queries for query_db. Args: (none) Returns: {tables: [{name, columns: [{name, type}], rows}], views: [{name, columns: [{name, type}]}], examples: [sql_string]} Key objects: - companies: KR companies have source='dart' + stock_code (6-digit), US companies source='edgar' + ticker - financials: one row per company x fiscal_year x quarter (quarter=0 = annual); raw unscaled KRW/USD amounts - prices_daily: daily OHLCV per company_id - views v_financials (financials joined with company name/ticker/stock_code) and v_latest_annual (latest annual row per company) — prefer these in query_db Examples: - Call before writing SQL for query_db, to learn table/column names. - Check row counts to see how much data the nightly ingest has loaded. Use when: preparing a query_db, or checking ingest coverage. Don't use for live market data (use the dart_/edgar_/fred_/crypto_ tools). Errors: 'database has not been built yet' — the ingest pipeline has not run on the server.
    ConnectorOAuth
  • Map how files in the user's project connect — which files are hubs, what imports what, where auth/API/database live. Not file bodies. ALWAYS call when they ask how auth works, where login is checked, what's the database, how the API is wired, give me an overview of these files, or where do I patch this feature. If they named Zephex or MCP and want a wiring map, you MUST call this before opening a pile of files. Prefer this over native Read on 10–20 files. Any language on their machine: Python CLI, Node, Go, a monorepo, an unsaved folder. Local/stdio: omit path (editor cwd) or pass their folder. No disk: inline_files or a public GitHub URL (https://github.com/owner/repo). concern = the word they used (auth, gateway, billing, users) — any label, not a fixed list. focus=auth|api|database|integrations when they named that slice. mode=overview first; mode=deep only if you need request_flows. subpath = one package in a monorepo. Read summary + data.entry_points + data.auth_flow + data.concern_cluster + next_calls. Then read_code outline on those hubs — do not open 20 files yourself. Empty cluster means that label is not in this repo. Outbound provider keys (OPENAI_API_KEY) are not inbound login. Not for stack/scripts (get_project_context). Not for 'where is this symbol' (find_code). Not for a function body (read_code). Example: explain_architecture({ concern: "auth", mode: "overview" }). Public repo: explain_architecture({ path: "https://github.com/owner/repo", focus: "api" }).
    ConnectorNo auth
  • Ask a natural-language question about NEM BESS data; returns generated SQL, result rows and a plain-English explanation. Scope each question to roughly one region-month or less — aggregates spanning more (e.g. a full year by region, or per-day top-N across all regions) can exceed the 15s query timeout. For per-day top-N / bottom-N questions, phrase them so the generated SQL uses a window function (ROW_NUMBER/RANK) rather than a per-day correlated subquery — the latter has been observed to silently return all-null rows with no error. Only dispatch_prices, daily_revenue, optimal_dispatch, bess_price_profile and market_events are reachable here; the market_* cache tables (market_monthly, market_regression, market_corr_tracker, market_daily_price, market_daily_fleet) behind the market-analysis page live in a separate database and are NOT queryable through this tool — a question about them will be recomputed from dispatch_prices instead, which is slower and easy to phrase incorrectly.
    ConnectorNo auth
  • Run a WRITE SQL statement against the project's Postgres database — CREATE/ALTER TABLE, INSERT, UPDATE, DELETE, DROP, migrations. Destructive statements are allowed but your MCP client will show the user the SQL and ask them to approve it (they can allow once or for the session). Schema-changing statements (CREATE/ALTER/DROP of tables, types, …) automatically re-pull the typed schema helper and return the updated schema — no separate pull_database_schema call needed. Pass `database` only if the project has more than one. The query runs in a single transaction by default; set no_transaction for statements that cannot run inside a transaction block (VACUUM, CREATE INDEX CONCURRENTLY, …). Queries are killed after 90 seconds either way.
    Connector
    Destructive
    OAuth
  • In-chat Vilix help. Call this when the user asks what Vilix is, how to connect a specific AI tool, how to use Vilix day to day, or about the discount / creator offer — and relay the returned `text` (it's written to be read to the user). The agent is the main onboarding surface, so prefer answering here over sending the user to a website. Returns one topic's short, chat-sized answer with a plain-text `text` you can always read out, plus structured fields a guide-card UI can render: relevant `assets` (connect/demo links), `tools` (connectable tools), and the creator-`offer` state. For "how do I make this automatic" the answer points you at the get_setup_instructions tool — call that for the exact paste-in block. `topic` (optional) — what the user is asking about: "overview" (what Vilix is / how to use it, the default), "connect", "using_daily", "make_it_automatic", or "offer" (the creator discount). Free-form labels are accepted and mapped. `tool` (optional) — the AI tool the question is about (e.g. "ChatGPT", "Cursor"), to scope connect / asset links. `viewed` (optional) — log a downstream interaction with what you surfaced: "asset_viewed" when the user opens a demo link, or "custom_instructions_copied". Omit otherwise.
    ConnectorOAuth
  • Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.
    ConnectorNo auth
  • Returns the UGC Pocket service descriptor: creator categories (e.g. dog, cooking, sport), prestation types, supported platforms, currency (EUR, budgets in cents), minimum and maximum campaign budget, the order model (agent creates a draft, a human confirms and funds it in the app), AND the "onboarding" object with the exact steps to give the user so they can create an account and generate an API key. No authentication required. Call this first to learn valid enum values, or whenever you need to tell a user how to connect UGC Pocket to their agent.
    ConnectorNo auth
  • Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge. ## Follow-up Pattern To ensure completeness, use microsoft_docs_fetch when high-value pages are identified by search. The fetch tool complements search by providing the full detail. This is a required step for comprehensive results.
    ConnectorNo auth