Best MCP Servers for BigQuery (2026)

The best MCP servers for Google BigQuery — let AI agents explore datasets, inspect schemas, and run SQL against your data warehouse.

Top 10 · servers we have seen run first, then by stars, downloads and installs · refreshed hourly

  1. Why it’s hereStarts in our sandbox (needs your API keys) · 148 GitHub stars

    Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities

    Upvotes: 0Installs: 0GitHub stars: 148
    Install
  2. Gateway logo

    #2 Gateway

    centralmind

    Why it’s here550 GitHub stars

    MCP and MCP SSE Server that automatically generate API based on database schema and data. Supports PostgreSQL, Clickhouse, MySQL, Snowflake, BigQuery, Supabase

    Upvotes: 0Installs: 0GitHub stars: 550
    Install
  3. Why it’s hereMatches this topic; not yet verified by us

    MCP Server for natural language querying of Snowflake, Google BigQuery, and DataBricks Data Products through Alkemi.ai.

    Upvotes: 0Installs: 0GitHub stars: 4
    Install
  4. Why it’s here131 GitHub stars

    BigQuery database integration with schema inspection and query capabilities

    Upvotes: 0Installs: 0GitHub stars: 131
    Install
  5. Legion MCP logo

    #5 Legion MCP

    TheRaLabs

    Why it’s hereMatches this topic; not yet verified by us

    Universal database MCP server supporting multiple database types including PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, BigQuery, Oracle DB, and SQLite.

    Upvotes: 0Installs: 0GitHub stars: 95
    Install
  6. Why it’s hereTools confirmed live over MCP

    Read-only BigQuery tools for plain-language data questions, with a cost gate on every query

    Upvotes: 0Installs: 0GitHub stars: 2
    Install
  7. Why it’s hereMatches this topic; not yet verified by us

    dbt MCP — manifest/run_results/sources/catalog parsing + DQ result tables (BigQuery/Postgres)

    Upvotes: 0Installs: 0GitHub stars: —
    Install
  8. Why it’s hereTools confirmed live over MCP

    Pre-flight query cost & result-size guardrails for AI agents across BigQuery and Snowflake

    Upvotes: 0Installs: 0GitHub stars: 1
    Install
  9. Why it’s hereMatches this topic; not yet verified by us

    Production MCP server for Postgres, Oracle, Snowflake, BigQuery, Redshift, DuckDB, MotherDuck.

    Upvotes: 0Installs: 0GitHub stars: —
    Install
  10. Why it’s hereMatches this topic; not yet verified by us

    MCP server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB

    Upvotes: 0Installs: 0GitHub stars: —
    Install

Which BigQuery MCP server should you use?

BigQuery bills by bytes scanned, so an agent writing exploratory queries can get expensive. Prefer servers that dry-run queries or cap maximum bytes billed, and point them at partitioned tables.

Use a service account with BigQuery Data Viewer and Job User roles on specific datasets instead of project-wide editor access.

Frequently asked questions about BigQuery MCP servers

What is the best BigQuery MCP server?

This page ranks BigQuery MCP servers with servers we have seen run first, then by popularity. Prefer servers that support dry runs or byte limits to keep query costs predictable.

How do I limit BigQuery costs when an agent runs queries?

Set a maximum bytes billed limit, give the service account access only to needed datasets, and use a server that dry-runs queries to estimate cost before executing.

What credentials does a BigQuery MCP server need?

Usually a Google Cloud service account key or application default credentials, with read and job-run roles on the datasets the agent should query.