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amineelkouhen/mcp-cockroachdb

by Various

The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.

A

MCP

amineelkouhen/mcp-cockroachdb

Added 1 June 2026

#cockroachdb #database #generative-ai #llm #mcp #mcp-server

Overview

The CockroachDB MCP Server provides a natural language interface for agentic applications to manage, monitor, and query data in CockroachDB. It translates natural language requests into database operations using the Model Context Protocol (MCP). This tool is implemented in Python and is open source.

Best for

Best for
Developers building AI agents that need to control and query a CockroachDB database

Use cases

  • Execute natural language queries against CockroachDB
  • Monitor database health and metrics through agent requests
  • Manage database schemas and configurations via conversational commands

How to use

Install

npx @modelcontextprotocol/inspector uv run src/main.py

Tools exposed

  • CRDB_HOST
  • CRDB_PORT
  • CRDB_DATABASE
  • CRDB_USERNAME
  • CRDB_PWD
  • CRDB_SSL_MODE
  • CRDB_SSL_CA_PATH
  • CRDB_SSL_CERTFILE
  • CRDB_SSL_KEYFILE

Tested with

Claude Desktop, Cursor, VS Code, ChatGPT

Notes

The CockroachDB MCP Server provides a natural language interface for agentic applications to manage, monitor, and query data in CockroachDB. It translates natural language requests into database operations using the Model Context Protocol (MCP). This tool is implemented in Python and is open source.

10 stars on GitHub. Last updated 2026-01-25. Licensed MIT.

Use cases

  • Execute natural language queries against CockroachDB
  • Monitor database health and metrics through agent requests
  • Manage database schemas and configurations via conversational commands

Pros

  • Enables AI agents to interact with CockroachDB using natural language
  • Open source and written in Python, easy to customize
  • Leverages the MCP standard for interoperability with many agent frameworks

Cons

  • Small community and limited adoption (10 stars on GitHub)
  • May lack robust error handling or advanced query optimization
  • Requires the MCP ecosystem and appropriate agent setup

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

Pros

  • Enables AI agents to interact with CockroachDB using natural language
  • Open source and written in Python, easy to customize
  • Leverages the MCP standard for interoperability with many agent frameworks

Cons

  • Small community and limited adoption (10 stars on GitHub)
  • May lack robust error handling or advanced query optimization
  • Requires the MCP ecosystem and appropriate agent setup
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