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Anyquery

Name: Anyquery MCP Server
Author: julien040

Query 40+ apps (GitHub, Notion, Slack, ...) with SQL via MCP.

Anyquery is a SQL query engine that talks to 40+ SaaS apps (GitHub, Notion, Slack, Airtable, Linear) and local files (CSV, JSON, Parquet). Through MCP it exposes those tables to Claude, so an LLM can ask cross-source questions in plain SQL without writing per-API glue.

▶ Demo ansehen 📦 Installieren 💡 Anwendungsfälle

Warum nutzen

Hauptfunktionen

40+ pre-built data sources covering GitHub, Notion, Linear, Airtable, Slack, calendar, Spotify
Local file query (CSV, Parquet, JSON, log files) via SQLite virtual tables
Single binary, single MCP endpoint — Claude sees one SQL schema across all sources
Pluggable connector architecture — write your own with a small Go/TS plugin
Compatible with the MySQL wire protocol for ad-hoc psql-style use

Live-Demo

In der Praxis

anyquery-mcp.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "anyquery-mcp": {
      "command": "anyquery",
      "args": [
        "mcp"
      ]
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "anyquery-mcp": {
      "command": "anyquery",
      "args": [
        "mcp"
      ]
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "anyquery-mcp": {
      "command": "anyquery",
      "args": [
        "mcp"
      ]
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "anyquery-mcp": {
      "command": "anyquery",
      "args": [
        "mcp"
      ]
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "anyquery-mcp",
      "command": "anyquery",
      "args": [
        "mcp"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

{
  "context_servers": {
    "anyquery-mcp": {
      "command": {
        "path": "anyquery",
        "args": [
          "mcp"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add anyquery-mcp -- anyquery mcp

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: Anyquery

Generate a weekly status report joining GitHub PRs and Linear tickets

👤 Engineering leads ⏱ ~15 min intermediate

Wann einsetzen: You want one summary across multiple SaaS tools without writing API code.

Voraussetzungen

Server/skill installed and authenticated — See repo README

Ablauf

List the connected tables

Show me every table anyquery has, grouped by source app.✓ Kopiert

→ Tables grouped by github/linear/slack/...
Write the join

For PRs merged this week in org acme/, find the matching Linear ticket by branch name and tell me which tickets shipped.✓ Kopiert

→ A SQL JOIN between github_pulls and linear_issues with shipped tickets

Ergebnis: A one-shot status digest you can paste into Slack.

Fallstricke

Tables only have data for connected accounts — Tables only have data for connected accounts — run anyquery plugin install <name> and authenticate before querying.

Kombinieren mit: github · linear · notion

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

anyquery-mcp + github

Pair with github for complementary capabilities

Use this server together with github to complete a multi-step task.✓ Kopiert

anyquery-mcp + linear

Pair with linear for complementary capabilities

Use this server together with linear to complete a multi-step task.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen	Kosten
list_tables	(none)	Discover which app/file tables are available before querying	free
describe_table	name: str	Inspect columns of a specific table	free
execute_query	sql: str	Run a SELECT across one or more sources	Underlying SaaS API quota

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: See provider docs for rate limits
Tokens pro Aufruf: Varies by tool
Kosten in €: See repo README for pricing details
Tipp: Cache tool results and avoid repeated identical calls.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: Use environment variables; never commit secrets

Datenabfluss: Tool calls go to the provider's API as documented

Fehlerbehebung

Häufige Fehler und Lösungen

table 'github_pulls' does not exist

Install and authenticate the GitHub plugin: anyquery plugin install github && anyquery plugin login github

Prüfen: Run list_tables and confirm github_pulls is present

rate limited by upstream API

Anyquery passes through the source's rate limit — add LIMIT and avoid SELECT * across millions of rows

Prüfen: Try a small LIMIT 10 query

Alternativen

Anyquery vs. andere

Alternative	Wann stattdessen	Kompromiss
MindsDB	You want federated ML/analytics, not just SQL access	Heavier — full DB platform vs single binary

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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