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code-graph-rag MCP Server

MCP ServerCode & Developer ToolsPythonOpen source

code-graph-rag is a Python MCP server with uvx/pip, docker. The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Decision snapshot

Is this a fit?

Best for

Connecting agents to external tools and data, Integrations workflows, Coding workflows, Data workflows

Works with

Python, Node.js, Docker, Rust

Access

API key required authentication

Setup

uvx/pip, docker, Self-hosted

Project health

2 months ago · MIT license

Considerations

Requires Python. Requires Node.js. Requires Docker.

How to use code-graph-rag MCP Server

Client configuration

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.vitali87/code-graph-rag",
  "title": "Code-Graph-RAG",
  "description": "Graph-based RAG system for multi-language codebases. Parse, index, query, and edit code using knowledge graphs and natural language.",
  "websiteUrl": "https://code-graph-rag.com",
  "repository": {
    "url": "https://github.com/vitali87/code-graph-rag",
    "source": "github"
  },
  "version": "0.0.502",
  "packages": [
    {
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "identifier": "code-graph-rag",
      "version": "0.0.502",
      "runtimeHint": "uvx",
      "transport": {
        "type": "stdio"
      },
      "packageArguments": [
        {
          "type": "positional",
          "value": "mcp-server"
        }
      ],
      "environmentVariables": [
        {
          "name": "ORCHESTRATOR_PROVIDER",
          "description": "LLM provider for the orchestrator agent (openai, anthropic, google, azure, cohere, ollama)",
          "default": "anthropic"
        },
        {
          "name": "ORCHESTRATOR_MODEL",
          "description": "Model name for the orchestrator agent",
          "default": "claude-sonnet-4-20250514"
        },
        {
          "name": "ORCHESTRATOR_API_KEY",
          "description": "API key for the orchestrator LLM provider",
          "isRequired": true,
          "isSecret": true
        },
        {
          "name": "CYPHER_PROVIDER",
          "description": "LLM provider for Cypher query generation (openai, anthropic, google, azure, cohere, ollama)",
          "default": "anthropic"
        },
        {
          "name": "CYPHER_MODEL",
          "description": "Model name for Cypher query generation",
  

What is code-graph-rag MCP Server?

code-graph-rag is a Python MCP server with uvx/pip, docker. The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
80/100
Maintenance signal
90/100
Adoption signal
83/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Tool access support
  • Shell commands support
  • Document generation support
  • OpenAI provider support
  • Anthropic provider support
  • Google provider support
  • Ollama provider support

Compatibility and setup

Install or run code-graph-rag using uvx/pip. Check vitali87/code-graph-rag for the latest setup command.

uvx/pipdockerstdioSSE
  • Built for Python
  • Built for Node.js
  • Built for Docker
  • Built for Rust
  • Install or run with uvx/pip
  • Install or run with docker
  • Uses stdio transport
  • Uses SSE transport

MCP metadata is retained with field-level source and confidence evidence. Undetected values remain unknown.

Requirements and access

PythonNode.jsDockerRustMIT licenseAPI key requiredDatabase access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

API key required authenticationSelf-hosted

When to use code-graph-rag MCP Server

  • Use it for connecting agents to external tools and data.
  • Use it for integrations workflows.
  • Use it for coding workflows.
  • Use it for data workflows.

Built with

PythonNode.jsDockerRustuvx/pipdockerstdioSSE

Verified compatibility and discovery

Frequently asked questions

What is code-graph-rag?

code-graph-rag is a Python MCP server with uvx/pip, docker. The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Who is code-graph-rag best for?

code-graph-rag is best for connecting agents to external tools and data, integrations workflows, coding workflows, data workflows.

How do I install code-graph-rag?

Install or run code-graph-rag using uvx/pip. Check code-graph-rag for the latest setup command.

Is code-graph-rag actively maintained?

code-graph-rag may need a closer maintenance check before production use.

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Stars
2,274
Forks
379
Last commit
2 months ago
Last verified
Not yet verified
Metadata fetched
Jul 25, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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