C++ Graph RAG Server

A powerful Model Context Protocol (MCP) server for analyzing large C++ codebases using Graph-RAG architecture. Features semantic search, crash dump analysis, and a web UI for configuration.

Features

• Graph-RAG Architecture: Combines semantic search (RAG) with relationship graphs
• Crash Dump Analysis: Parse stack traces and find problematic code instantly
• Tree-sitter Parsing: Accurate C++ parsing that understands syntax
• Incremental Indexing: Smart change detection and efficient updates
• pgvector Storage: Fast vector similarity search
• Web UI Dashboard: Configure directories and monitor indexing status
• Docker + Podman: Works with both container runtimes

Quick Start

Prerequisites

• Docker (20.x+) or Podman (4.x+)
• 4GB+ RAM (8GB recommended for large codebases)
• 5GB free disk space

1. Configure Environment

# Copy example config
cp env.example .env

# Edit .env to set your source code path
# Windows example: HOST_PATH=C:/Projects
# Linux example: HOST_PATH=/home/user/projects

2. Build and Start

Using Docker:

# Build images
docker-compose build

# Start services
docker-compose up -d

# View logs
docker-compose logs -f mcp-server

Using Podman:

# Build images
podman-compose build

# Start services
podman-compose up -d

# View logs
podman-compose logs -f mcp-server

3. Configure Directories

Open the web UI at http://localhost:8000 to:

1. Browse your mounted directories
2. Select folders to index
3. Monitor indexing progress
4. Test searches

4. Connect to Claude Desktop / VS Code

Add to your MCP client configuration:

Claude Desktop (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "cpp-codebase": {
      "url": "http://localhost:8000/mcp/v1"
    }
  }
}

VS Code (MCP extension settings):

{
  "mcp.servers": {
    "cpp-codebase": "http://localhost:8000/mcp/v1"
  }
}

Web UI

The dashboard at http://localhost:8000 provides:

Feature	Description
Indexing Status	View files indexed, entities found, progress
Directory Browser	Navigate and select directories to index
Quick Search	Test semantic search queries
Re-index Button	Manually trigger re-indexing

Available MCP Tools

search_code

Semantic search across your codebase.

"Find database connection patterns"
"Show mutex locking implementations"

find_symbol

Precise symbol lookup with usages.

"Find ConnectionPool::acquire"
"Where is DatabaseManager defined?"

trace_dependencies

Graph traversal for dependencies.

"What does AuthManager depend on?"
"Show me everything that calls validateUser"

get_context

Comprehensive context for AI agents.

"Get context about the payment processing module"

analyze_debugging_context

Analyze crash dumps from Visual Studio.

Provide: file path, line number, exception info, call stack

find_code_location

Navigate to specific file and line.

"Show me database_connection.cpp line 95"

Configuration

Environment Variables

Variable	Default	Description
HOST_PATH	./example_code	Path to mount as /host
MONITORED_PATHS	(empty)	Comma-separated paths to index
MCP_PORT	8000	Port for API and web UI
DB_NAME	cpp_codebase	PostgreSQL database name
DB_USER	postgres	Database user
DB_PASSWORD	postgres	Database password
EMBEDDING_MODEL	all-MiniLM-L6-v2	Sentence transformer model

Volume Mounting

Mount your source code as read-only:

volumes:
  # Mount entire drive (Windows)
  - C:/:/host:ro
  
  # Mount specific directory (Linux)
  - /home/user/projects:/host:ro

Then use the web UI to select specific subdirectories.

Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Container Network                         │
│  ┌─────────────────────┐    ┌─────────────────────────────┐ │
│  │  PostgreSQL 18      │    │  MCP Server                 │ │
│  │  + pgvector         │◄───│  + FastAPI                  │ │
│  │  (pg18-trixie)      │    │  + Web UI                   │ │
│  │  Port: 5432         │    │  Port: 8000                 │ │
│  └─────────────────────┘    └─────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘

Commands Reference

Docker

# Start
docker-compose up -d

# Stop
docker-compose down

# View logs
docker-compose logs -f mcp-server

# Rebuild after code changes
docker-compose build --no-cache

# Reset database (deletes all indexed data)
docker-compose down -v
docker-compose up -d

# Check status
docker-compose ps

# Enter container shell
docker-compose exec mcp-server bash

Podman

# Start
podman-compose up -d

# Stop
podman-compose down

# View logs
podman-compose logs -f mcp-server

# Rebuild
podman-compose build --no-cache

# Reset database
podman-compose down -v
podman-compose up -d

API Endpoints

# Check health
curl http://localhost:8000/api/status

# List MCP tools
curl http://localhost:8000/mcp/v1/tools

# Search code
curl -X POST http://localhost:8000/api/search \
  -H "Content-Type: application/json" \
  -d '{"query": "database connection"}'

# Get directories
curl http://localhost:8000/api/directories

# Browse directory
curl "http://localhost:8000/api/browse?path=/host"

Troubleshooting

Server won't start

# Check logs
docker-compose logs mcp-server

# Common issues:
# - PostgreSQL not ready: Wait 30 seconds
# - Port in use: Change MCP_PORT in .env
# - Out of memory: Increase Docker memory limit

No files indexed

# Verify mount
docker-compose exec mcp-server ls -la /host

# Check configured paths
curl http://localhost:8000/api/directories

Slow indexing

# Use faster embedding model
EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2

# Check database size
docker-compose exec postgres psql -U postgres -d cpp_codebase \
  -c "SELECT pg_size_pretty(pg_database_size('cpp_codebase'));"

Permission denied on Linux

# Add user to docker group
sudo usermod -aG docker $USER

# Or use podman (rootless by default)
podman-compose up -d

Performance Tips

Codebase Size	RAM	First Index Time
10K LOC	4GB	~30 seconds
100K LOC	4GB	~5 minutes
1M LOC	8GB	~45 minutes
3M+ LOC	16GB	~2 hours

For Large Codebases

1. Start with a single module to test
2. Use the fast embedding model (default)
3. Index only needed directories via web UI
4. Consider SSD for database volume

Project Structure

cpp-graph-rag-mcp/
├── server.py              # Main MCP server (FastAPI)
├── parser.py              # Tree-sitter C++ parser
├── indexer.py             # Code indexer
├── crash_analyzer.py      # Crash dump analysis
├── vs_context_analyzer.py # VS debugging integration
├── config_manager.py      # Configuration persistence
├── requirements.txt       # Python dependencies
├── Dockerfile             # Container build
├── docker-compose.yml     # Multi-container setup
├── env.example            # Configuration template
├── static/                # Web UI files
│   ├── index.html
│   ├── styles.css
│   └── app.js
├── example_code/          # Sample C++ for testing
└── docs/                  # Documentation

Security Notes

• Server runs on localhost only by default
• Code is mounted read-only
• Database password should be changed for production
• No data leaves your machine (local embeddings)

License

MIT License - Free to use and modify.

Contributing

Key areas for improvement:

• Template specialization handling
• Macro expansion tracking
• Multi-language support
• Visual dependency graph viewer