Setup with agent
Better Code Review Graph – Agent Setup Guide
Section titled “Better Code Review Graph – Agent Setup Guide”Give this file to your AI agent to automatically set up better-code-review-graph.
2026-05-02 Update: Plugin install (Option 1) now uses pure stdio mode. API keys are optional env vars. The previous “Zero-Config Relay” auto-spawn pattern has been removed. If you relied on the relay form to enter API keys, please:
- Set the env var directly in plugin config (Option 1), OR
- Use HTTP self-host mode (advanced; out of scope of this guide).
Method overview
Section titled “Method overview”This plugin defaults to stdio via plugin install (uvx). Its source tree
also provides stdio and http Docker build targets, and HTTP transport is
available for advanced self-hosting. It does not provide an owner-hosted
remote-relay/OAuth endpoint: HTTP is operator-hosted and must retain access to
the repository being indexed.
For comparison, the other 7 plugins in this stack (better-notion-mcp,
better-email-mcp, better-telegram-mcp, wet-mcp, mnemo-mcp,
imagine-mcp, better-workspace-mcp) document the same local install,
Docker-stdio, and self-hosted HTTP choices in more detail.
Mutually exclusive — pick one endpoint: Do not stack
/plugin installwith a usermcpServersoverride for a source-built Docker stdio or HTTP endpoint. Both would load simultaneously, and the override would not include this plugin’s skills, hooks, or commands. Use the default plugin install for the complete local-first experience.
Option 1: Claude Code Plugin (Recommended)
Section titled “Option 1: Claude Code Plugin (Recommended)”Plugin marketplace install runs the server in pure stdio mode with optional API key env vars. No daemon-bridge, no auto-spawn, no relay form. Graph storage is local SQLite, and local embeddings are resolved through Fastretrieval’s ONNX model registry – no external graph database required.
Credential prompts at install
Section titled “Credential prompts at install”When you run /plugin install, Claude Code prompts you for the following credentials (declared in userConfig per CC docs). Sensitive values are stored in your system keychain and persist across /plugin update:
| Field | Required | Where to obtain |
|---|---|---|
JINA_AI_API_KEY |
Optional | https://jina.ai/api-key |
GEMINI_API_KEY |
Optional | https://aistudio.google.com/apikey |
OPENAI_API_KEY |
Optional | https://platform.openai.com/api-keys |
COHERE_API_KEY |
Optional | https://dashboard.cohere.com/api-keys |
# Install from marketplace (includes skills: /refactor-check, /review-delta, /review-pr + hooks)/plugin marketplace add n24q02m/claude-plugins/plugin install better-code-review-graph@n24q02m-pluginsThe plugin includes SessionStart and PostToolUse hooks that auto-build and auto-update the code graph.
Other optional env vars (
GEMINI_API_KEY,OPENAI_API_KEY,COHERE_API_KEY,EMBEDDING_MODELS,SUMMARY_MODELS,LOCAL_EMBEDDING_MODEL, etc.) are not part of theuserConfigprompt; add them manually tomcpServers.better-code-review-graph.envin your settings if needed.
Environment Variables
Section titled “Environment Variables”All environment variables are optional. The server works with Fastretrieval’s local ONNX embedding registry with zero configuration.
API Keys (Cloud Embedding Providers)
Section titled “API Keys (Cloud Embedding Providers)”| Variable | Required | Default | Description |
|---|---|---|---|
JINA_AI_API_KEY |
No | – | Jina AI key: embedding + reranking (highest priority) |
GEMINI_API_KEY |
No | – | Google Gemini key: embedding (free tier available). Also accepts GOOGLE_API_KEY |
GOOGLE_VERTEX_EXPRESS_API_KEY |
No | – | Vertex AI Express: Gemini via API key, no Service Account. Get it at https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview |
OPENAI_API_KEY |
No | – | OpenAI key: embedding |
COHERE_API_KEY |
No | – | Cohere key: embedding + reranking. Also accepts CO_API_KEY |
Embedding Configuration
Section titled “Embedding Configuration”| Variable | Required | Default | Description |
|---|---|---|---|
EMBEDDING_MODELS |
No | empty | Ordered CSV embedding model chain (provider/model,...); empty resolves Fastretrieval’s local ONNX model manifest |
EMBEDDING_DIMS |
No | 0 (auto) |
Embedding dimensions; custom local models may require LOCAL_EMBEDDING_DIM |
LOCAL_EMBEDDING_MODEL |
No | – | Optional BYO local embedding model ID; empty uses Fastretrieval’s bundled model manifest |
LOCAL_EMBEDDING_MODEL_FILE |
No | onnx/model.onnx |
ONNX file path for a BYO local embedding |
LOCAL_EMBEDDING_DIM |
No | 0 |
Required for a BYO local embedding when its model manifest does not provide dimensions |
LOCAL_EMBEDDING_POOLING |
No | MEAN |
Pooling for a BYO local embedding (MEAN, CLS, LAST_TOKEN, or DISABLED) |
LOCAL_EMBEDDING_NORMALIZE |
No | true |
Normalize BYO local embedding outputs |
SUMMARY_MODELS |
No | empty | Ordered CSV summary model chain (provider/model,...); empty leaves summaries disabled |
Legacy aliases: EMBEDDING_BACKEND, EMBEDDING_MODEL, and SUMMARY_MODEL are deprecated and honored for one release. Use EMBEDDING_MODELS and SUMMARY_MODELS instead.
HTTP Mode (Self-Host)
Section titled “HTTP Mode (Self-Host)”| Variable | Required | Default | Description |
|---|---|---|---|
TRANSPORT_MODE |
No | stdio |
Set to http to enable HTTP transport (multi-user). |
PUBLIC_URL |
Yes (http) | – | Server’s public URL for relay form. |
MCP_DCR_SERVER_SECRET |
Yes (http) | – | HMAC secret for stateless Dynamic Client Registration. |
MCP_PORT |
No | 8080 |
Server port (http mode only). |
General
Section titled “General”| Variable | Required | Default | Description |
|---|---|---|---|
LOG_LEVEL |
No | INFO |
Logging level |
Authentication
Section titled “Authentication”Stdio Mode (Env Vars)
Section titled “Stdio Mode (Env Vars)”Set API keys directly via env vars (or leave unset for Fastretrieval’s local ONNX registry). No relay form, no browser flow.
Verification
Section titled “Verification”After setup, verify the server is working by building the graph:
graph(action="build", repo_path="/path/to/your/repo")Expected: returns a JSON summary with node counts, edge counts, and supported languages found.
Then try a search:
query(action="search", query="main function", repo_path="/path/to/your/repo")