codealive-mcp

by CodeAlive-AI · Python · ★ 78

The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphRAG and accessible via MCP. It enriches the context for AI agents like Codex, Claude Code, Cursor, etc., making them 35% more efficient and up to 84% faster.

#claude-code#cursor#graphrag#large-codebase#mcp#rag

Install

pip install git+https://github.com/CodeAlive-AI/codealive-mcp.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "codealive-mcp": {
      "command": "uvx",
      "args": [
        "git+https://github.com/CodeAlive-AI/codealive-mcp.git"
      ]
    }
  }
}

From the README

[](https://www.codealive.ai/) **Connect your AI assistant to CodeAlive's powerful code understanding platform in seconds!** This MCP (Model Context Protocol) server enables AI clients like Claude Code, Cursor, Claude Desktop, Continue, VS Code (GitHub Copilot), Cline, Codex, OpenCode, Qwen Code, Gemini CLI, Roo Code, Goose, Kilo Code, Windsurf, Kiro, Qoder, n8n, and Amazon Q Developer to access CodeAlive's advanced semantic code search and codebase interaction features. The most accurate and comprehensive Context Engine as a service, optimized for large codebases, powered by advanced GraphR…

Read full README on GitHub →

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