gitlumen-mcp
Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.
README
GitLumen MCP Server - Version 1.0.0
GitLumen MCP Server is a Node.js project that exposes a GitLumen-style review intelligence layer through the Model Context Protocol (MCP), so AI agents can call it as tools.
This project focuses on:
AI Agent / MCP Client
-> GitLumen MCP Server
-> GitHub public repo / PR reader
-> local risk analyzer
-> GitLumen-style report
This project intentionally does not execute onchain transactions yet and does not use Base MCP send_calls. A Base MCP custom plugin can be attached in Path 2 after this intelligence server is ready.
Features
- MCP stdio server that can be used by Claude Desktop, Cursor, Claude Code, or other MCP clients.
- Screens public GitHub repository URLs.
- Screens GitHub Pull Request URLs
/pull/<number>. - No GitHub token required for small/medium public repositories.
- Optional
GITHUB_TOKENfor higher rate limits and private repositories (depending on token scope). - Local analyzer: source code is not sent to external LLMs.
- Produces:
- risk score
- category risk map
- findings
- review chapters
- decision questions
- merge-readiness signal
- recommended next actions
- Stores reports locally in
.gitlumen-mcp/reports/*.json. - Includes a CLI for local testing without an MCP client.
Project Structure
gitlumen-mcp-server/
|- package.json
|- README.md
|- .env.example
|- examples/
| |- claude_desktop_config.example.json
| \- cursor_mcp.example.json
|- docs/
| |- ARCHITECTURE.md
| \- TOOLS.md
\- src/
|- index.js # MCP stdio server entrypoint
|- cli.js # CLI local test
|- doctor.js # environment checker
|- config.js
|- types.js
|- services/
| |- github.js # GitHub API + raw file loader
| |- analyzer.js # local heuristic risk engine
| |- gitlumen.js # service orchestrator
| \- reportStore.js # local report persistence
\- utils/
|- githubUrl.js
|- ids.js
\- text.js
Requirements
- Node.js 20+
- npm
- Internet access to fetch metadata/files from GitHub
Check Node version:
node -v
If your version is Node 18 or below, upgrade to Node 20+.
1. Install Dependencies
Open the project directory:
cd gitlumen-mcp-server
Install dependencies:
npm install
2. Optional Env Setup
Copy env example:
cp .env.example .env
Fill optional values:
GITHUB_TOKEN=ghp_xxx_or_fine_grained_token
GITLUMEN_MCP_DATA_DIR=.gitlumen-mcp
GITLUMEN_MAX_FILE_BYTES=120000
For public repositories, GITHUB_TOKEN can be empty. A token is still recommended to avoid low GitHub rate limits.
3. Run Doctor
npm run doctor
Expected output:
GitLumen MCP Doctor
✅ Node version: v20.x.x
✅ GITHUB_TOKEN configured: no (public unauthenticated mode)
✅ Data directory: /path/to/gitlumen-mcp-server/.gitlumen-mcp
✅ Reports directory writable: /path/to/gitlumen-mcp-server/.gitlumen-mcp/reports
4. Test Screening via CLI
Offline test without GitHub network
npm run sample
This command generates a report from a local fixture so you can verify analyzer and report-store behavior without GitHub connectivity.
Screen a public repository
npm run screen -- https://github.com/modelcontextprotocol/typescript-sdk quick
Screen a public PR
npm run screen -- https://github.com/modelcontextprotocol/typescript-sdk/pull/1 quick
Available scopes
quick = fastest, fewer files
standard = balanced default
Examples:
npm run screen -- https://github.com/owner/repo standard
npm run screen -- https://github.com/owner/repo quick main
After completion, CLI prints a markdown report and saves JSON to:
.gitlumen-mcp/reports/<reportId>.json
5. Read Previous Reports
npm run list -- 10
Take a reportId, then:
npm run report -- glr_xxxxxxxxxxxxxxxx markdown
Or full JSON:
npm run report -- glr_xxxxxxxxxxxxxxxx json
6. Run as MCP Server
The MCP server uses stdio, so it is normally started by an MCP client instead of being run manually.
node /ABSOLUTE/PATH/TO/gitlumen-mcp-server/src/index.js
To debug MCP protocol, use MCP Inspector:
npm run inspect
Then open the Inspector URL printed in terminal.
Optional: Run as Remote MCP HTTP Server (for VPS/PM2)
This project also includes a Streamable HTTP transport endpoint at /mcp.
Run locally:
npm run start:http
Environment variables:
PORT=3333
HOST=0.0.0.0
MCP_AUTH_TOKEN=replace_with_a_long_random_token
MCP_AUTH_TOKENis optional but strongly recommended for production.- When set, clients must send
Authorization: Bearer <token>.
Health check:
curl -s http://localhost:3333/health
Production deployment guide:
- PM2 example config: examples/ecosystem.pm2.example.cjs
Client configuration templates (Copilot / VS Code / Codex):
- docs/CLIENT_CONFIG_TEMPLATES.md
- VS Code remote endpoint template: examples/vscode_mcp.gitlumen.remote.example.json (copy into
.vscode/mcp.json, which is gitignored)
7. Install in Claude Desktop
Open Claude Desktop config.
Common location:
macOS
~/Library/Application Support/Claude/claude_desktop_config.json
Windows
%APPDATA%\Claude\claude_desktop_config.json
Add:
{
"mcpServers": {
"gitlumen": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/gitlumen-mcp-server/src/index.js"],
"env": {
"GITHUB_TOKEN": "optional_github_token_here",
"GITLUMEN_MCP_DATA_DIR": "/ABSOLUTE/PATH/TO/gitlumen-mcp-server/.gitlumen-mcp"
}
}
}
}
Replace /ABSOLUTE/PATH/TO/... with your real path.
Restart Claude Desktop.
Example prompt:
Use GitLumen to screen https://github.com/modelcontextprotocol/typescript-sdk with quick scope. Return the risk map and top findings.
8. Install in Cursor
Create or edit Cursor MCP config (format may vary by Cursor version):
{
"mcpServers": {
"gitlumen": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/gitlumen-mcp-server/src/index.js"],
"env": {
"GITHUB_TOKEN": "optional_github_token_here"
}
}
}
}
Restart Cursor, then ask the agent to use GitLumen tools.
Available MCP Tools
screen_repository
Screen a repository or PR.
Input:
{
"repoUrl": "https://github.com/owner/repo",
"scope": "standard",
"output": "compact"
}
For PR:
{
"repoUrl": "https://github.com/owner/repo/pull/123",
"scope": "quick",
"output": "markdown"
}
Output modes:
compact = concise JSON for agent replies
markdown = full markdown report
json = full JSON report
get_review_report
Fetch a previous report by reportId.
{
"reportId": "glr_xxxxxxxxxxxxxxxx",
"output": "markdown"
}
list_review_reports
List local reports.
{
"limit": 20
}
get_repository_structure
Get repository/PR structure without generating a full risk report.
{
"repoUrl": "https://github.com/owner/repo",
"limit": 300
}
explain_gitlumen_mcp_flow
Explain Path 1 flow and how Path 2 Base MCP can be attached later.
How the Analyzer Works
The local analyzer reads:
- repository metadata
- default branch
- recursive tree
- selected source/config files
- PR metadata and changed files (for PR URLs)
Then it generates signals:
- language/framework detection
- dependency surface
- lockfile presence
- lifecycle script risk
- test presence
- CI presence
- Dockerfile/container risk
- possible hardcoded secret patterns
- dynamic code execution
- command execution pattern
- SQL interpolation pattern
- GitHub Actions supply-chain pattern
- merge-readiness estimate
Risk categories:
security
dependencies
tests
architecture
operations
maintainability
Severity:
critical
high
medium
low
info
Example Compact Report Output
{
"reportId": "glr_abc123...",
"risk": {
"score": 42,
"level": "medium",
"mergeReadiness": "review_required",
"categoryScores": {
"security": 24,
"dependencies": 13,
"tests": 24,
"architecture": 0,
"operations": 13,
"maintainability": 5
}
},
"summary": "The repository/PR has medium risk signals...",
"findings": [],
"decisionQuestions": [],
"recommendations": []
}
Path 1 vs Path 2
Path 1 (this project)
Repo/PR intelligence
Risk map
Review chapters
Decision questions
Report retrieval
Path 2 (future)
Base MCP get_wallets
GitLumen quote endpoint
GitLumen prepare endpoint
Base MCP send_calls
Review credit purchase
Reward claim
Reviewer reputation
This project is intentionally standalone for Path 1 first. Later, Path 2 can read reportId and connect it with onchain payment/reward/reputation flows.
Troubleshooting
Unable to reach GitHub API or fetch failed
Check internet connection, DNS, proxy/VPN, or retry. For offline verification:
npm run sample
GitHub API 403 rate limit exceeded
Add GITHUB_TOKEN in .env or MCP client config.
Only github.com repositories are supported
This prototype does not support GitLab/Bitbucket yet. Add a new adapter in src/services/github.js or create a separate service.
MCP client cannot see tools
Check:
argspath is absolute.npm installhas been run.- Node 20+ is installed.
- MCP client was restarted.
- Verify with
npm run inspect.
Report is not saved
Run:
npm run doctor
Ensure .gitlumen-mcp/reports is writable.
Important Files for Future Changes
Add a new detector
Edit:
src/services/analyzer.js
Change repository fetching behavior
Edit:
src/services/github.js
Replace local analyzer with hosted GitLumen API
Edit:
src/services/gitlumen.js
Potential production direction:
screen_repository MCP tool
-> GitLumen hosted API /v1/screenings
-> GitLumen Review Intelligence Engine
-> reportId
-> get_review_report MCP tool
Security Notes
- Do not commit
.env. - Do not hardcode GitHub tokens in publicly shared config.
- For private repositories, use least-privilege fine-grained GitHub tokens.
- Local reports may contain paths, findings, and snippet metadata. Store them securely for private repositories.
License
MIT
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