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https://github.com/sdsrss/code-graph-mcp

AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.
https://github.com/sdsrss/code-graph-mcp

ast call-graph claude-code claude-code-plugin code-navigation knowledge-graph mcp rust semantic-search tree-sitter

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AST knowledge graph MCP server for Claude Code — semantic search, call graph traversal, HTTP route tracing, impact analysis. Auto-indexes 10 languages via Tree-sitter.

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README

          

# code-graph-mcp

A high-performance code knowledge graph server implementing the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/). Indexes codebases into a structured AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing — designed to give AI coding assistants deep, structured understanding of your code.

## Features

- **Multi-language parsing** — Tree-sitter AST extraction for TypeScript, JavaScript, Go, Python, Rust, Java, C, C++, HTML, CSS
- **Semantic code search** — Hybrid BM25 full-text + vector semantic search with Reciprocal Rank Fusion (RRF), powered by sqlite-vec
- **Call graph traversal** — Recursive CTE queries to trace callers/callees with cycle detection
- **HTTP route tracing** — Map route paths to backend handler functions (Express, Flask/FastAPI, Go)
- **Impact analysis** — Determine the blast radius of code changes by tracing all dependents
- **Incremental indexing** — Merkle tree change detection with file system watcher for real-time updates
- **Context compression** — Token-aware snippet extraction for LLM context windows (L0→full code, L1→summaries, L2→file groups, L3→directory overview)
- **Embedding model** — Optional local embedding via Candle (feature-gated `embed-model`)
- **MCP protocol** — JSON-RPC 2.0 over stdio, plug-and-play with Claude Code, Cursor, Windsurf, and other MCP clients
- **Claude Code Plugin** — First-class plugin with slash commands (`/understand`, `/trace`, `/impact`), agents, skills, auto-indexing hooks, StatusLine integration, and self-updating

## Why code-graph-mcp?

Unlike naive full-text search or simple AST dumps, code-graph-mcp builds a **structured knowledge graph** that understands the relationships between symbols across your entire codebase.

### Incremental by Design

BLAKE3 Merkle tree tracks every file's content hash. On re-index, only changed files are re-parsed — unchanged directory subtrees are skipped entirely via mtime cache. When a function signature changes, **dirty propagation** automatically regenerates context for all downstream callers across files.

### Hybrid Search, Not Just Grep

Combines BM25 full-text ranking (FTS5) with vector semantic similarity (sqlite-vec) via **Reciprocal Rank Fusion (RRF)** — so searching "handle user login" finds the right function even if it's named `authenticate_session`. Results are auto-compressed to fit LLM context windows.

### Scope-Aware Relation Extraction

The parser doesn't just find function calls — it tracks them within their proper scope context. Extracts calls, imports, inheritance, interface implementations, exports, and HTTP route bindings. Same-file targets are preferred over cross-file matches to minimize false-positive edges.

### HTTP Request Flow Tracing

Unique to code-graph-mcp: trace from `GET /api/users` → route handler → service layer → database call in a single query. Supports Express, Flask/FastAPI, and Go HTTP frameworks.

### Zero External Dependencies at Runtime

Single binary, embedded SQLite, bundled sqlite-vec extension, optional local embedding model via Candle — no database server, no cloud API, no Docker required. Runs entirely on your machine.

### Built for AI Assistants

Every design decision — from token-aware compression to node_id-based snippet expansion — is optimized for LLM context windows. Works out of the box with Claude Code, Cursor, Windsurf, and any MCP-compatible client.

## Efficiency: code-graph vs Traditional Tools

Real-world benchmarks comparing code-graph-mcp tools against traditional approaches (Grep + Read + Glob) on a 33-file Rust project (~537 AST nodes).

### Tool Call Reduction

| Scenario | Traditional | code-graph | Savings |
|----------|:-----------:|:----------:|:-------:|
| Project architecture overview | 5-8 calls | 1 call (`project_map`) | **~85%** |
| Find function by concept | 3-5 calls | 1 call (`semantic_code_search`) | **~75%** |
| Trace 2-level call chain | 8-15 calls | 1 call (`get_call_graph`) | **~90%** |
| Pre-change impact analysis | 10-20+ calls | 1 call (`impact_analysis`) | **~95%** |
| Module structure & exports | 5+ calls | 1 call (`module_overview`) | **~80%** |
| File dependency mapping | 3-5 calls | 1 call (`dependency_graph`) | **~75%** |
| Similar code detection | N/A | 1 call (`find_similar_code`) | **unique** |

### Overall Session Efficiency

| Metric | Without code-graph | With code-graph | Improvement |
|--------|:------------------:|:---------------:|:-----------:|
| Tool calls per navigation task | ~6 | ~1.2 | **~80% fewer** |
| Source lines read into context | ~8,000 lines | ~400 lines (structured) | **~95% less** |
| Navigation token cost | ~36K tokens | ~7K tokens | **~80% saved** |
| Full session token savings | — | — | **40-60%** |

### What code-graph Uniquely Enables

- **Impact analysis** — "Changing `conn` affects 33 functions across 4 files, 78 tests at HIGH risk" — impossible to derive manually with Grep
- **Transitive call tracing** — Follow `main` → `run_serve` → `handle_message` → `handle_tools_call` → `conn` in one query
- **Semantic search** — Find `authenticate_session` when searching "handle user login"
- **Dependency strength** — Not just "file A imports file B", but "file A uses 38 symbols from file B"

### When Traditional Tools Are Still Better

| Use Case | Best Tool |
|----------|-----------|
| Exact string / constant search | Grep |
| Reading a file to edit it | Read |
| Finding files by name pattern | Glob |

## Architecture

```
src/
├── mcp/ # MCP protocol layer (JSON-RPC, tool registry, server)
├── parser/ # Tree-sitter parsing, relation extraction, language support
├── indexer/ # 3-phase pipeline, Merkle tree, file watcher
├── storage/ # SQLite schema, CRUD, FTS5 full-text search
├── graph/ # Recursive CTE call graph queries
├── search/ # RRF fusion search combining BM25 + vector
├── embedding/ # Candle embedding model (optional)
├── sandbox/ # Context compressor with token estimation
└── utils/ # Language detection, config
```

## Installation

### Option 1: Claude Code Plugin (Recommended)

Install as a Claude Code plugin for the best experience — includes slash commands, agents, skills, auto-indexing hooks, StatusLine health display, and automatic updates:

```bash
# Step 1: Add the marketplace
/plugin marketplace add sdsrss/code-graph-mcp

# Step 2: Install the plugin
/plugin install code-graph-mcp
```

What you get:
- **MCP Server** — All code-graph tools available to Claude
- **Slash Commands** — `/understand `, `/trace `, `/impact `
- **Code Explorer Agent** — Deep code understanding expert via `code-explorer`
- **Auto-indexing Hook** — Incremental index on every file edit (PostToolUse)
- **StatusLine** — Real-time health display (nodes, files, watch status) — compatible with other plugins' StatusLine via composite multiplexer
- **Auto-update** — Checks for new versions every 24h, updates silently

#### Manual Update

```bash
npm update -g @sdsrs/code-graph
```

Then reconnect the MCP server in Claude Code with `/mcp`.

> **Note:** Auto-update is disabled in the source repo directory (dev mode). Use manual update when developing the plugin itself.

### Option 2: Claude Code MCP Server Only

Register as an MCP server without the plugin features:

```bash
claude mcp add code-graph-mcp -- npx -y @sdsrs/code-graph
```

### Option 3: Cursor / Windsurf / Other MCP Clients

Add to your MCP settings file (e.g. `~/.cursor/mcp.json`):

```json
{
"mcpServers": {
"code-graph": {
"command": "npx",
"args": ["-y", "@sdsrs/code-graph"]
}
}
}
```

### Option 4: npx (No Install)

Run directly without installing:

```bash
npx -y @sdsrs/code-graph
```

### Option 5: npm (Global Install)

Install globally, then run anywhere:

```bash
npm install -g @sdsrs/code-graph
code-graph-mcp
```

## Uninstallation

### Claude Code Plugin

```bash
# Uninstall the plugin
/plugin uninstall code-graph-mcp

# (Optional) Remove the marketplace
/plugin marketplace remove code-graph-mcp

# (Optional) Clean up all config and cache data
node ~/.claude/plugins/cache/code-graph-mcp/code-graph-mcp/*/scripts/lifecycle.js uninstall
```

### Claude Code MCP Server

```bash
claude mcp remove code-graph-mcp
```

### Cursor / Windsurf / Other MCP Clients

Remove the `code-graph` entry from your MCP settings file (e.g. `~/.cursor/mcp.json`).

### npm (Global)

```bash
npm uninstall -g @sdsrs/code-graph
```

## MCP Tools

| Tool | Description |
|------|-------------|
| `project_map` | Full project architecture: modules, dependencies, entry points, hot functions |
| `semantic_code_search` | Hybrid BM25 + vector + graph search for AST nodes |
| `get_call_graph` | Trace upstream/downstream call chains for a function |
| `trace_http_chain` | Full request flow: route → handler → downstream call chain |
| `impact_analysis` | Analyze the blast radius of changing a symbol |
| `module_overview` | High-level overview of a module's structure and exports |
| `dependency_graph` | Visualize dependency relationships between modules |
| `find_similar_code` | Find code snippets similar to a given pattern |
| `get_ast_node` | Extract a specific code symbol with signature, body, and relations |

## Plugin Slash Commands

Available when installed as a Claude Code plugin:

| Command | Description |
|---------|-------------|
| `/understand ` | Deep dive into a module or file's architecture and relationships |
| `/trace ` | Trace a full HTTP request flow from route to data layer |
| `/impact ` | Analyze the impact scope of changing a symbol before modifying it |
| `/status` | Show code-graph index status and embedding progress |
| `/rebuild` | Force a full code-graph index rebuild |

## Supported Languages

TypeScript, JavaScript, Go, Python, Rust, Java, C, C++, HTML, CSS

## Storage

Uses SQLite with:
- FTS5 for full-text search
- sqlite-vec extension for vector similarity search
- Merkle tree hashes for incremental change detection

Data is stored in `.code-graph/index.db` under the project root (auto-created, gitignored).

## Build from Source

### Prerequisites

- Rust 1.75+ (2021 edition)
- A C compiler (for bundled SQLite / sqlite-vec)

### Build

```bash
# Default build (with local embedding model)
cargo build --release

# Without embedding model (lighter build)
cargo build --release --no-default-features
```

### Configure (from source)

Add the compiled binary to your MCP settings:

```json
{
"mcpServers": {
"code-graph": {
"command": "/path/to/target/release/code-graph-mcp"
}
}
}
```

## Development

```bash
# Run tests
cargo test

# Run tests without embedding model
cargo test --no-default-features

# Check compilation
cargo check
```

## License

See [LICENSE](LICENSE) for details.