ActiveCode Graph Rag
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Quick Answer
- 1. Code Graph Rag gives AI agents databases capabilities with 2,280 GitHub stars and a quality score of 95/99.
- 2. Install: Run
pip install code-graph-ragor add the config to your MCP client. - 3. Runtime: python — no authentication required.
- 4. Health: Actively maintained — last checked 7/1/2026.
Overview
Category: Databases
Runtime: python
Install: pip install code-graph-rag
Auth: No auth required
Source: community
Stars: 2,280
Setup time: ~30 sec
What You Can Build
With the Code Graph Rag MCP server, your AI assistant can:
- Access databases functionality through natural language
- Use the server immediately with no API key setup
- Combine with other MCP servers for cross-tool automation workflows
- Run with python for reliable, consistent deployments
Health Status
ActiveLast commit: 7/1/2026
Checked: 7/1/2026
Page updated: June 13, 2026
One-Click Install
Copy the snippet for your MCP client and paste it in.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"code-graph-rag": {
"command": "pip",
"args": [
"install",
"code-graph-rag"
],
"env": {}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"code-graph-rag": {
"command": "pip install code-graph-rag"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"code-graph-rag": {
"command": "pip install code-graph-rag"
}
}
}MCP Server Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"code-graph-rag": {
"command": "pip",
"args": ["install","code-graph-rag"],
"env": {}
}
}
}Topics
Quality Score
Automated quality ranking of maintaining source repository.
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