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AnyQuery MCP Pricing & Plans 2026

Complete pricing guide for AnyQuery MCP. Compare all plans, analyze costs, and find the perfect tier for your needs.

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🆓Free Tier Available
⚡No Setup Fees

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Open Source (self-hosted)

Free

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    Pricing sourced from AnyQuery MCP · Last verified March 2026

    Is AnyQuery MCP Worth It?

    ✅ Why Choose AnyQuery MCP

    • • Single static binary with zero runtime dependencies — install via Homebrew, Scoop, or direct download and it runs on macOS, Linux, and Windows without Docker or Node
    • • Native MCP server mode exposes all 40+ connectors as structured tools to Claude, ChatGPT, Cursor, and other LLM clients with one command
    • • Cross-source SQL joins let you combine GitHub issues with Linear tickets, Notion pages, and local CSVs in a single query — something Zapier and Power Automate cannot do
    • • Speaks MySQL and PostgreSQL wire protocols, so existing BI tools (Metabase, Tableau, Grafana, DBeaver) connect without custom drivers
    • • Fully local-first and open-source (AGPL) — no cloud tenant, no data egress, and no per-operation pricing, making it suitable for privacy-sensitive or regulated workloads
    • • Supports read AND write operations (INSERT/UPDATE/DELETE) against sources like Notion, Airtable, and Todoist, not just read-only queries

    ⚠️ Consider This

    • • Requires SQL fluency and terminal comfort — non-technical users who expect a Zapier-style visual builder will be lost
    • • Connector quality is uneven: some integrations are maintained by the author, others are community plugins with varying update cadence and error handling
    • • No managed scheduling, webhook triggers, or event-driven workflows — it answers queries on demand but won't replace an automation platform for reactive flows
    • • Rate limits, pagination, and API quirks of upstream services (GitHub, Notion, etc.) still surface to the user; caching helps but doesn't fully hide them
    • • Sole-maintainer project with a small contributor base, so long-term support, security patches, and enterprise-grade SLAs are not guaranteed

    What Users Say About AnyQuery MCP

    👍 What Users Love

    • ✓Single static binary with zero runtime dependencies — install via Homebrew, Scoop, or direct download and it runs on macOS, Linux, and Windows without Docker or Node
    • ✓Native MCP server mode exposes all 40+ connectors as structured tools to Claude, ChatGPT, Cursor, and other LLM clients with one command
    • ✓Cross-source SQL joins let you combine GitHub issues with Linear tickets, Notion pages, and local CSVs in a single query — something Zapier and Power Automate cannot do
    • ✓Speaks MySQL and PostgreSQL wire protocols, so existing BI tools (Metabase, Tableau, Grafana, DBeaver) connect without custom drivers
    • ✓Fully local-first and open-source (AGPL) — no cloud tenant, no data egress, and no per-operation pricing, making it suitable for privacy-sensitive or regulated workloads
    • ✓Supports read AND write operations (INSERT/UPDATE/DELETE) against sources like Notion, Airtable, and Todoist, not just read-only queries

    👎 Common Concerns

    • ⚠Requires SQL fluency and terminal comfort — non-technical users who expect a Zapier-style visual builder will be lost
    • ⚠Connector quality is uneven: some integrations are maintained by the author, others are community plugins with varying update cadence and error handling
    • ⚠No managed scheduling, webhook triggers, or event-driven workflows — it answers queries on demand but won't replace an automation platform for reactive flows
    • ⚠Rate limits, pagination, and API quirks of upstream services (GitHub, Notion, etc.) still surface to the user; caching helps but doesn't fully hide them
    • ⚠Sole-maintainer project with a small contributor base, so long-term support, security patches, and enterprise-grade SLAs are not guaranteed

    Pricing FAQ

    How is AnyQuery different from Zapier or Make?

    Zapier and Make are visual, event-driven automation platforms priced per task or operation. AnyQuery is a SQL query engine: you pull data on demand, join across sources, and optionally let an LLM call it via MCP. It has no triggers or scheduled workflows out of the box, but it's free, local, and handles analytical queries (joins, aggregations) that Zapier cannot express.

    Does AnyQuery send my data to the cloud?

    No. AnyQuery runs entirely on your machine. Data only leaves your computer when you query a remote source (e.g., the GitHub API), and credentials are stored locally. There is no AnyQuery cloud service or telemetry pipeline collecting your queries.

    How do I connect Claude Desktop or ChatGPT to AnyQuery?

    Install AnyQuery, authenticate the connectors you want (e.g., `anyquery connection add github`), then run `anyquery mcp` to start the MCP server. Add the resulting command to your Claude Desktop `claude_desktop_config.json` or Cursor MCP config, and the assistant will see each connector as a callable tool.

    Can AnyQuery write back to services like Notion or Airtable?

    Yes. Many connectors support INSERT, UPDATE, and DELETE statements — for example, you can `INSERT INTO notion_page (parent, title) VALUES (...)` or update Airtable rows. Write support varies per plugin; the connector's README lists which DML operations are available.

    What skills do I need to use AnyQuery productively?

    Comfortable SQL (SELECT, JOIN, WHERE, GROUP BY), basic terminal usage, and the ability to edit a JSON config file for MCP clients. Writing custom plugins requires Go or Lua. Non-developers can still benefit if a teammate sets up the queries, but self-service requires SQL literacy.

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