googleapis/genai-toolbox
by Various
MCP Toolbox for Databases is an open source MCP server for databases.
MCP
googleapis/genai-toolbox
Added 1 June 2026
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.yamlTools 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
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