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googleapis/genai-toolbox

by Various

MCP Toolbox for Databases is an open source MCP server for databases.

G

MCP

googleapis/genai-toolbox

Added 1 June 2026

#agent #agents #ai #bigquery #clickhouse #cockroachdb #database #elasticsearch

Overview

Open source MCP server written in Go that provides database connectivity and operations through the Model Context Protocol. Enables AI agents and LLMs to query, read, and interact with databases as tools within MCP-compatible applications.

Best for

Best for
Developers building AI agents that need direct database query capabilities via MCP

Use cases

  • Let LLMs execute SQL queries against live databases
  • Build AI agents that can fetch and analyze database records
  • Integrate database access into Claude, ChatGPT, or other MCP clients

How to use

Install

npx @toolbox-sdk/server --config tools.yaml

Tools exposed

  • toolName

Tested with

Claude Code, ChatGPT

Example client config

{\n      "mcpServers": {\n        "toolbox-postgres": {\n          "command": "npx",\n          "args": [\n            "-y",\n            "@toolbox-sdk/server",\n            "--prebuilt=postgres",\n            "--stdio"\n          ]\n        }\n      }\n    }

Notes

Open source MCP server written in Go that provides database connectivity and operations through the Model Context Protocol. Enables AI agents and LLMs to query, read, and interact with databases as tools within MCP-compatible applications.

15,425 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Let LLMs execute SQL queries against live databases
  • Build AI agents that can fetch and analyze database records
  • Integrate database access into Claude, ChatGPT, or other MCP clients

Pros

  • Open source with active community (15k+ stars)
  • Written in Go for fast, lightweight deployment
  • Standardized MCP protocol enables broad tool compatibility

Cons

  • Requires MCP client support, limiting integration options
  • Security model depends on caller to enforce access controls
  • Limited documentation on supported database types and query scope

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with active community (15k+ stars)
  • Written in Go for fast, lightweight deployment
  • Standardized MCP protocol enables broad tool compatibility

Cons

  • Requires MCP client support, limiting integration options
  • Security model depends on caller to enforce access controls
  • Limited documentation on supported database types and query scope

Pairs with

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