better-code-review-graph
Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.
README
better-code-review-graph
mcp-name: io.github.n24q02m/better-code-review-graph
Knowledge graph for token-efficient code reviews -- fixed search, configurable embeddings, qualified call resolution.
Fork of code-review-graph with critical bug fixes, configurable embeddings, and production CI/CD. Parses your codebase with Tree-sitter, builds a structural graph of functions/classes/imports, and gives Claude (or any MCP client) precise context so it reads only what matters.
Why Better
| Feature | code-review-graph | better-code-review-graph |
|---|---|---|
| Multi-word search | Broken (literal substring) | AND-logic word splitting |
| callers_of/callees_of | Empty results (bare name targets) | Qualified name resolution + bare fallback |
| Embedding | sentence-transformers + torch (1.1 GB) | qwen3-embed ONNX + LiteLLM (200 MB), dual-mode |
| Output size | Unbounded (500K+ chars) | Paginated (max_results, truncated flag) |
| Tool design | 9 individual tools | 3-tier: graph (mega) + config + help |
| Plugin hooks | Invalid PostEdit/PostGit | Valid PostToolUse |
All fixes are submitted upstream as standalone PRs (see Upstream PRs). If all are merged, this repo will be archived.
Installation
Claude Code
claude mcp add better-code-review-graph -- uvx --python 3.13 better-code-review-graph serve
Claude Code Plugin
claude plugin install n24q02m/better-code-review-graph@better-code-review-graph
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
Codex (~/.codex/config.toml)
[mcp_servers.better-code-review-graph]
command = "uvx"
args = ["--python", "3.13", "better-code-review-graph", "serve"]
Gemini CLI (~/.gemini/settings.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
OpenCode (~/.opencode.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
Windsurf (~/.codeium/windsurf/mcp_config.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
Cline (cline_mcp_settings.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
Amp (~/.config/amp/settings.json)
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph", "serve"]
}
}
}
Docker
docker run -i --rm n24q02m/better-code-review-graph
pip
pip install better-code-review-graph
better-code-review-graph serve
Tools
graph -- Knowledge graph operations
Actions: build | update | query | search | impact | review | embed | stats | large_functions
| Action | Description |
|---|---|
build |
Full or incremental graph build. Set full_rebuild=true to re-parse all files. |
update |
Alias for build with full_rebuild=false (incremental). |
query |
Run predefined queries: callers_of, callees_of, imports_of, importers_of, children_of, tests_for, inheritors_of, file_summary. |
search |
Search code entities by name/keyword or semantic similarity. |
impact |
Blast radius of changed files. Auto-detects from git diff. Paginated with max_results. |
review |
Token-optimized review context with structural summary, source snippets, and review guidance. |
embed |
Compute vector embeddings for semantic search. Dual-mode: local ONNX or cloud LiteLLM. |
stats |
Graph size, languages, node/edge breakdown, embedding count. |
large_functions |
Find functions/classes exceeding a line-count threshold. |
config -- Server configuration
Actions: status | set | cache_clear
| Action | Description |
|---|---|
status |
Server info: version, graph path, node/edge counts, embedding backend. |
set |
Update runtime settings (e.g., log_level). |
cache_clear |
Remove all computed embeddings. |
help -- Full documentation
Topics: graph | config
Returns complete documentation for each tool. Use when the compressed descriptions above are insufficient.
Embedding Backends
| Backend | Config | Size | Description |
|---|---|---|---|
| local (default) | Nothing needed | ~570 MB (first use) | qwen3-embed ONNX. Zero-config. |
| litellm | API_KEYS or LITELLM_PROXY_URL |
0 MB | Cloud providers via LiteLLM. |
- Auto-detection:
API_KEYSorLITELLM_PROXY_URLset -> LiteLLM. Otherwise -> local ONNX. - Override:
EMBEDDING_BACKEND=localorEMBEDDING_BACKEND=litellm. - Fixed 768-dim storage: Switching backends does NOT invalidate existing vectors.
Configuration
| Variable | Default | Description |
|---|---|---|
EMBEDDING_BACKEND |
(auto-detect) | local or litellm |
EMBEDDING_MODEL |
gemini/gemini-embedding-001 |
LiteLLM model (when backend=litellm) |
API_KEYS |
- | LLM API keys (format: ENV_VAR:key,...). Enables LiteLLM. |
LITELLM_PROXY_URL |
- | LiteLLM Proxy URL. Enables LiteLLM via proxy. |
LITELLM_PROXY_KEY |
- | LiteLLM Proxy virtual key. |
Ignore files
Create .code-review-graphignore in your project root:
generated/**
*.generated.ts
vendor/**
node_modules/**
Supported Languages
Python, TypeScript, JavaScript, Go, Rust, Java, C#, Ruby, Kotlin, Swift, PHP, C/C++
Upstream PRs
All fixes are submitted to code-review-graph:
- #37 -- Multi-word search AND logic
- #38 -- Parser call target resolution (fixes #20)
- #39 -- Impact radius output pagination
If all upstream PRs are merged, this repository will be archived.
Build from Source
git clone https://github.com/n24q02m/better-code-review-graph
cd better-code-review-graph
uv sync --group dev
uv run pytest
uv run better-code-review-graph serve
Requirements: Python 3.13, uv
Compatible With
Also by n24q02m
| Server | Description | Install |
|---|---|---|
| wet-mcp | Web search, content extraction, library docs | uvx --python 3.13 wet-mcp@latest |
| mnemo-mcp | Persistent AI memory with hybrid search | uvx mnemo-mcp@latest |
| better-notion-mcp | Notion API for AI agents | npx -y @n24q02m/better-notion-mcp@latest |
| better-email-mcp | Email (IMAP/SMTP) for AI agents | npx -y @n24q02m/better-email-mcp@latest |
| better-godot-mcp | Godot Engine for AI agents | npx -y @n24q02m/better-godot-mcp@latest |
| better-telegram-mcp | Telegram Bot API + MTProto for AI agents | uvx --python 3.13 better-telegram-mcp@latest |
License
MIT - See LICENSE
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.