Code-Graph-RAG

Name: Code-Graph-RAG
Author: vitali87

by vitali87version 0.5.0i★ –iRuns on your computer

Registry nameio.github.vitali87/code-graph-rag

Install

Overview

Description from the maker (original English)

Knowledge-graph RAG for multi-language codebases: index, query and edit code in natural language.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: ORCHESTRATOR_API_KEY, CYPHER_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: ORCHESTRATOR_PROVIDER, ORCHESTRATOR_MODEL, ORCHESTRATOR_API_KEY, CYPHER_PROVIDER, CYPHER_MODEL, CYPHER_API_KEY, MEMGRAPH_HOST, MEMGRAPH_PORT, TARGET_REPO_PATH

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "code-graph-rag": {
      "command": "uvx",
      "args": [
        "code-graph-rag",
        "mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_PROVIDER": "your-value",
        "ORCHESTRATOR_MODEL": "your-value",
        "ORCHESTRATOR_API_KEY": "your-value",
        "CYPHER_PROVIDER": "your-value",
        "CYPHER_MODEL": "your-value",
        "CYPHER_API_KEY": "your-value",
        "MEMGRAPH_HOST": "your-value",
        "MEMGRAPH_PORT": "your-value",
        "TARGET_REPO_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add code-graph-rag --env ORCHESTRATOR_PROVIDER=your-value --env ORCHESTRATOR_MODEL=your-value --env ORCHESTRATOR_API_KEY=your-value --env CYPHER_PROVIDER=your-value --env CYPHER_MODEL=your-value --env CYPHER_API_KEY=your-value --env MEMGRAPH_HOST=your-value --env MEMGRAPH_PORT=your-value --env TARGET_REPO_PATH=your-value -- uvx code-graph-rag mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "code-graph-rag": {
      "command": "uvx",
      "args": [
        "code-graph-rag",
        "mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_PROVIDER": "your-value",
        "ORCHESTRATOR_MODEL": "your-value",
        "ORCHESTRATOR_API_KEY": "your-value",
        "CYPHER_PROVIDER": "your-value",
        "CYPHER_MODEL": "your-value",
        "CYPHER_API_KEY": "your-value",
        "MEMGRAPH_HOST": "your-value",
        "MEMGRAPH_PORT": "your-value",
        "TARGET_REPO_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "code-graph-rag": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "code-graph-rag",
        "mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_PROVIDER": "your-value",
        "ORCHESTRATOR_MODEL": "your-value",
        "ORCHESTRATOR_API_KEY": "your-value",
        "CYPHER_PROVIDER": "your-value",
        "CYPHER_MODEL": "your-value",
        "CYPHER_API_KEY": "your-value",
        "MEMGRAPH_HOST": "your-value",
        "MEMGRAPH_PORT": "your-value",
        "TARGET_REPO_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ORCHESTRATOR_PROVIDER env
LLM provider for the orchestrator agent (openai, anthropic, google, azure, cohere, ollama)
ORCHESTRATOR_MODEL env
Model name for the orchestrator agent
ORCHESTRATOR_API_KEY secret env
API key for the orchestrator LLM provider (not needed for the default local ollama provider)
CYPHER_PROVIDER env
LLM provider for Cypher query generation (openai, anthropic, google, azure, cohere, ollama)
CYPHER_MODEL env
Model name for Cypher query generation
CYPHER_API_KEY secret env
API key for the Cypher LLM provider (not needed for the default local ollama provider)
MEMGRAPH_HOST env
Hostname of the Memgraph database
MEMGRAPH_PORT env
Port of the Memgraph database
TARGET_REPO_PATH env
Path to the repository to analyze (auto-detected from working directory if not set)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account vitali87, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7234 servers in this category
Published to the registry more recently than 91% of the other 7234 servers in this category
Basic checks equal to or better than 100% of the other 7234 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Code-Graph-RAG safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ORCHESTRATOR_API_KEY, CYPHER_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Code-Graph-RAG

Code-Graph-RAG parses a multi-language codebase with Tree-sitter, sharpened by compiler-grade frontends and runtime traces where available, builds a knowledge graph of its structure in an embedded graph database that needs no server, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema.

Index: cgr start --update-graph parses a repository into a knowledge graph (sped up)

Ask: cgr start answers questions and edits code, grounded in that graph

Latest News 🔥

Rust Upgrade: Updated Rust to version 1.99.1-slim-trixie.
Signature Functionality: Added support for reading and writing JavaScript headers for change signatures, including the ability to change the signature of JavaScript functions or methods.
macOS Compatibility: The build now leaves macOS-14 support.

See NEWS.md for the full history.

What It Does

Point Code-Graph-RAG at a repository and it reads every source file, extracts functions, classes, methods, modules, and the relationships between them, and stores the result as an interconnected graph. Once the graph exists you can:

Ask questions about the codebase in natural language and get answers grounded in the real structure.
Retrieve the actual source of any function, class, or method by name or by intent.
Edit code through the agent with AST-based surgical patching and a diff preview before anything changes.
Optimise code against language best practices or your own coding standards.
Find dead code by walking call and reference edges from entry points.
Search and rewrite structurally by AST pattern with ast-grep.
Overlay runtime behaviour: trace a test run (or pull production eBPF profiles) with cgr trace and merge the calls that actually happened into the graph, exposing dispatch that static analysis cannot see.

How It Works

The system has two components:

Multi-language parser. A Tree-sitter based parser reads the codebase and ingests functions, classes, methods, modules, and their relationships into the graph under a single language-agnostic schema. Where a toolchain is available, compiler-grade frontends layer exact facts on top (libclang for C/C++, go/types for Go, and opt-in Roslyn, javac and Jedi for C#, Java and Python), and dynamic tracing merges calls observed at runtime. Tree-sitter stays the backbone: a trace only sees code that ran, and a compiler frontend only covers what its toolchain can build.
RAG system (codebase_rag/). An interactive CLI that turns natural language into Cypher queries, retrieves matching code, and drives AI-powered editing and optimisation.

Source Code -> Tree-sitter Parser -> AST Analysis -> Knowledge Graph

| User Query -> AI Model (Cypher Gen) -> Cypher Query -> Graph Results -> Response

The graph is stored in an embedded SQLite file by default. Memgraph and Neo4j are opt-in backends that run the same Cypher; Graph Backends compares them.

See the Architecture Overview and Graph Schema for the full picture.

Supported Languages

Python, TypeScript, TSX, JavaScript, Rust, Go, Java, C, C++, C#, PHP, Lua, Dart, and Julia are fully supported. Scala is in development, and Ruby, Kotlin, Swift, Elixir, Haskell, Solidity, Bash, and Nix have structural support (modules, functions, classes where the language has them, and imports) through the pluggable ast-grep tier. See the Language Support matrix for per-language capabilities.

Installation

cgr is published to PyPI. Install it system-wide with the treesitter-full (tree-sitter grammars), ast-grep (Ruby, Kotlin, Swift, Elixir, Haskell, Solidity, Bash, Nix) and semantic (vector search) extras:

# with uv (recommended)

uv tool install "code-graph-rag[treesitter-full,ast-grep,semantic]"

or with pipx

pipx install "code-graph-rag[treesitter-full,ast-grep,semantic]"

Which version am I getting?

Three version lines exist and they intentionally differ:

where	what it tracks
git tags	every version, one per merge
GitHub Releases (binaries, signatures)	every 50th version, plus any security fix, breaking change or merge labelled `release now`
PyPI	every 50th version, plus any security fix, breaking change or merge labelled `release now`

So the newest tag on main usually runs ahead of the newest release, often by tens of patch versions; they coincide only just after a release. Nothing is stuck, the cadences differ by design. A security fix, a breaking change or a merge a maintainer labels release now does NOT wait for the cadence: each ships a release and a PyPI upload immediately.

uv tool install and pipx install give you the newest PyPI version, which is the newest RELEASE, not the newest tag. Interim tags exist so every merge is addressable; binaries and PyPI uploads follow the cadence above.

To run code newer than the latest release, install from git:

uv tool install "code-graph-rag[treesitter-full,ast-grep,semantic] @ git+https://github.com/vitali87/code-graph-rag@main"

To upgrade an existing install, run uv tool upgrade code-graph-rag (with pipx, pipx upgrade code-graph-rag, or pipx reinstall code-graph-rag for a git install). Upgrade covers the other install methods.

You also need Python 3.12+ and ripgrep. The graph lives in an embedded SQLite file by default, so there is no database server to run: no Docker and no cmake. Memgraph and Neo4j remain available as opt-in backends (Graph Backends). Full prerequisites, source installs, and environment setup are in the Installation guide.

[!NOTE]

The wheel is pure Python (py3-none-any), so it installs on any platform with Python 3.12 or newer. Older system interpreters (Debian Bookworm ships 3.11) need the interpreter pinned explicitly; see Installation for the commands.

Quick Start

# Parse a repository into the graph, then query it

cgr start --repo-path /path/to/repo --update-graph cgr start --repo-path /path/to/repo

The graph is written to ~/.cgr/graph.sqlite (set SQLITE_GRAPH_PATH to move it). To use Memgraph instead, install the driver with the memgraph extra, set GRAPH_BACKEND=memgraph, and start the packaged Memgraph + Qdrant stack with cgr daemon up.

Repeat the first command for each repository you want indexed; the graph is shared, and syncing one project leaves the others alone. To start over from an empty graph, add --clean — it deletes every project in the shared graph, not just this one, and asks for confirmation first when other projects would be destroyed.

A default index leaves out the opt-in capture groups; add them with --capture or CGR_CAPTURE.

The Quick Start guide walks through parsing, querying, and exporting in five minutes.

MCP Server

Code-Graph-RAG runs as an MCP server so Claude Code and other MCP clients can query and edit your codebase directly. See the MCP Server guide for setup.

Documentation

Getting Started

Installation
Quick Start
Configuration

User Guide

CLI Reference
Interactive Querying
Code Optimisation
Dead Code Detection
Dynamic Call Tracing
Graph Export
Real-Time Updates
C/C++ Semantic Mode
MCP Server
Porting Between Languages

Architecture

Overview
Graph Schema
Graph Backends
Language Support
Data-Flow Edges

Python SDK

Overview
Graph Loader
Cypher Generator
Semantic Search

Advanced

Adding Languages
Ignore Patterns
Building Binaries
Troubleshooting

Enterprise Services

Code-Graph-RAG is open source and free to use. For organisations that need more, we offer fully managed cloud-hosted solutions and on-premise deployments:

Only the beginning is shown; read the rest in the repo

Code-Graph-RAG

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Code-Graph-RAG

Latest News 🔥

What It Does

How It Works

Supported Languages

Installation

or with pipx

Which version am I getting?

Quick Start

MCP Server

Documentation

Enterprise Services