Consulta GitHub Security Advisories desde una base de datos clonada localmente para identificar vulnerabilidades en ecosistemas de software.
También conocido como microsoft/github-advisory-mcp
- Stars
- 9
- Herramientas
- 12
- Descargas, 30 días
- —
- Última versión
- —
- Último commit
- 4 nov 2026
- Licencia
- MIT
¿Qué es GitHub Advisory MCP?
GitHub Advisory es un MCP server. Consulta GitHub Security Advisories desde una base de datos clonada localmente para identificar vulnerabilidades en ecosistemas de software. Expone 12 herramientas, como ghsa_id, cve_id, ecosystem.
Resumen generado a partir del README del proyecto
Acerca del MCP server de GitHub Advisory
Este MCP server permite a los desarrolladores identificar vulnerabilidades de software consultando una base de datos local de GitHub Security Advisories. Ofrece una forma de buscar entre cientos de miles de archivos de avisos sin depender de llamadas de red externas en cada consulta. El servidor utiliza un diseño de dos niveles, que consiste en un MCP server que puede ejecutarse vía stdio o HTTP y una API REST local con Express que interactúa con un repositorio clonado de archivos de avisos en JSON.
Los desarrolladores que usan VS Code con GitHub Copilot pueden integrar este servidor para encontrar problemas de alta severidad en ecosistemas específicos como npm, pip o maven. La configuración requiere un clon local de la base de datos de avisos, el cual el servidor puede clonar automáticamente en su primer uso. Proporciona dos herramientas principales: list_advisories para búsquedas filtradas por severidad, ecosistema o identificador CVE, y get_advisory para obtener detalles profundos sobre un ID de GHSA específico. Este enfoque centrado en lo local garantiza que el triaje de seguridad se realice de manera eficiente utilizando las herramientas proporcionadas por la fuente de datos del repositorio local.
Qué puedes hacer con él
- 1Encontrar vulnerabilidades en ecosistemasBusca avisos de npm de alta severidad relacionados con un paquete específico.
- 2Recuperar detalles de un aviso específicoObtén información completa de un único aviso de seguridad utilizando su identificador único.
- 3Filtrar amenazas de seguridad por severidadLista todos los avisos críticos dentro de un ecosistema de paquetes específico.
- 4Triaje de rutas de código vulnerablesCombina los datos de los avisos con la búsqueda de código para localizar y corregir secciones vulnerables de una base de código.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Herramientas de GitHub Advisory MCP 12
Detectado desde el READMEghsa_idcve_idecosystemseveritycwesis_withdrawnaffectspublishedupdatedper_pagedirectionsort
| ghsa_id | — | |
| cve_id | — | |
| ecosystem | — | |
| severity | — | |
| cwes | — | |
| is_withdrawn | — | |
| affects | — | |
| published | — | |
| updated | — | |
| per_page | — | |
| direction | — | |
| sort | — |
Configuración
ADVISORY_REPO_PATH
| Nombre | Descripción | Tipo |
|---|---|---|
| ADVISORY_REPO_PATH | — |
Verificaciones automáticas
Ejecutado 13 nov 2026Informe completo →Pasó nuestras verificaciones automáticas. Esto no es una auditoría de seguridad: lee el código y dale al servidor el acceso más limitado que necesite. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleAprobado
- Licencia de código abierto (OSI)Aprobado
- Commit o lanzamiento en el último añoAprobado
- El nombre del paquete no es similar a un paquete popularNo verificado
- El endpoint remoto usa HTTPSNo verificado
- Las herramientas destructivas están etiquetadasAprobado
- Sin instrucciones ocultas para el modeloAprobado
- Sin avisos críticos en el paquete ni en sus dependenciasNo verificado
README
Ver en GitHubMicrosoft GitHub Advisory MCP Server
MCP server for querying GitHub Security Advisories from a local cloned advisory database.
Architecture
Two-Tier Design:
┌─────────────────────────────────────┐
│ MCP Server (stdio or HTTP) │ Port: 18006 (HTTP mode)
│ - list_advisories tool │
│ - get_advisory tool │
└──────────┬──────────────────────────┘
│ calls internally
┌──────────▼──────────────────────────┐
│ Local Express REST API │ Port: 18005
│ GET /health │
│ GET /advisories │
│ GET /advisories/:ghsa_id │
│ GET /search?q=<query> │
└──────────┬──────────────────────────┘
│ reads from
┌──────────▼──────────────────────────┐
│ LocalRepositoryDataSource │
│ Reads JSON files from: │
│ external/advisory-database/ │
└─────────────────────────────────────┘
Quick Start (VS Code + GitHub Copilot)
For users who just want to use the MCP server in VS Code:
- Clone and Setup:
git clone https://github.com/microsoft/github-advisory-mcp.git
cd github-advisory-mcp
npm install
npm run build
- The
.vscode/mcp.jsonis pre-configured:
{
"servers": {
"advisory": {
"command": "node",
"args": ["${workspaceFolder}/dist/index.js"],
"type": "stdio",
"env": {
"ADVISORY_REPO_PATH": "${workspaceFolder}/external/advisory-database"
}
}
}
}
-
Reload VS Code - Copilot will automatically:
- Clone the advisory database (~370K advisory files; ~35K github-reviewed served) on first use
- Enable MCP tools:
list_advisories,get_advisory
-
Test in Copilot Chat:
@workspace Find high-severity npm advisories related to express
Done! The MCP server runs automatically when Copilot needs it.
Setup (Advanced)
1. Install Dependencies
npm install
npm run build
2. Database Setup (Optional - Auto-clones on first use)
# Linux/Mac (manual pre-clone)
./scripts/setup-advisory-database.sh
# Windows (manual pre-clone)
git clone --depth=1 https://github.com/github/advisory-database.git external/advisory-database
The database will auto-clone on first MCP tool call if not present.
Usage
Start Server (HTTP Streaming Mode)
Windows:
.\Start.ps1
# or with custom ports:
.\Start.ps1 -McpPort 18006 -ApiPort 18005
Manual Start:
$env:ADVISORY_REPO_PATH = "C:\path\to\advisory-database"
$env:MCP_PORT = "18006"
$env:ADVISORY_API_PORT = "18005"
node dist\http-server.js
Start Server (stdio Mode)
ADVISORY_REPO_PATH=/path/to/advisory-database node dist/index.js
Guides
- Correlating advisories with code — use the advisory server together with a code-search MCP to locate and triage vulnerable code paths.
Testing
Quick Test (Copilot Chat)
After setup, test in VS Code Copilot Chat:
@workspace /tests What tools does the advisory MCP server provide?
Or query advisories directly:
@workspace Find critical npm advisories from 2024
@workspace Get details for GHSA-jc85-fpwf-qm7x
Automated Tests
npx vitest run test/unit # fast, hermetic unit tests (this is what `npm test` runs)
npm run test:e2e # end-to-end MCP tests (needs the advisory database)
Health Checks
# MCP Server Health
Invoke-RestMethod http://localhost:18006/health
# Local API Health
Invoke-RestMethod http://localhost:18005/health
Test the REST API and MCP protocol directly
Low-level REST and raw MCP JSON-RPC request recipes (health checks, session
initialize, tools/list, tools/call) live in docs/http-api.md.
Environment Variables
| Variable | Default | Description |
|---|---|---|
ADVISORY_REPO_PATH |
./external/advisory-database |
Path to cloned advisory-database repository |
MCP_PORT |
18006 |
Port for MCP HTTP server |
ADVISORY_API_PORT |
18005 |
Port for local REST API |
ADVISORY_API_HOST |
127.0.0.1 |
Host for local REST API |
ADVISORY_API_BASE |
http://localhost:18005 |
Base URL for MCP tools to call local API |
MCP Tools
list_advisories
List security advisories with optional filters.
Parameters:
ghsa_id(string): GHSA identifiercve_id(string): CVE identifierecosystem(enum): Package ecosystem (npm, pip, maven, etc.)severity(enum): Severity level (low, medium, high, critical, unknown)cwes(string): Comma-separated CWE identifiersis_withdrawn(boolean): Filter withdrawn advisoriesaffects(string): Package name filterpublished(string): Published date filterupdated(string): Updated date filterper_page(number): Results per page (max 100)direction(enum): Sort direction (asc, desc)sort(enum): Sort field (updated, published)
Example:
{
"ecosystem": "npm",
"severity": "critical",
"per_page": 10
}
get_advisory
Get detailed information about a specific advisory.
Parameters:
ghsa_id(string, required): GHSA identifier (e.g., GHSA-xxxx-xxxx-xxxx)
Example:
{
"ghsa_id": "GHSA-jc85-fpwf-qm7x"
}
Security & Validation
Input Validation
All MCP tool parameters are validated using Zod schemas:
list_advisories validation:
ecosystem: Enum of valid ecosystems (npm, pip, maven, etc.) - prevents injectionseverity: Enum (low, medium, high, critical, unknown) - prevents injectionper_page: Number constrained to 1-100 max - prevents resource exhaustioncwes: String pattern matching for CWE identifiers - validates format- Date filters: ISO 8601 format validation
get_advisory validation:
ghsa_id: Pattern matchGHSA-xxxx-xxxx-xxxx- prevents path traversal- Required field enforcement - rejects empty/null values
File System Protection:
- Path validation: Script execution paths validated against known safe scripts
- No user-supplied paths accepted - prevents directory traversal
- Read-only database access - no write operations exposed
Rate Limiting
Current: No rate limiting (stdio transport = single local user)
Considerations:
- stdio mode: Single-process, single-user - no rate limiting needed
- HTTP mode: Consider adding rate limiting if exposed beyond localhost
- Database queries: Inherently rate-limited by disk I/O (hundreds of thousands of files)
Future (HTTP mode): add rate limiting if you expose the server beyond localhost — see docs/integration.md.
Session Security
- Timeout: 30-minute automatic session cleanup
- Isolation: Each MCP session isolated (no shared state)
- Transport: stdio (local) or HTTP (localhost-only by default)
Known Security Measures
✅ Path validation for script execution (prevents command injection)
✅ Zod schema validation (prevents type confusion attacks)
✅ Session timeout (prevents resource leaks)
✅ Read-only database access (no write exposure)
✅ Enum validation for critical parameters (prevents injection)
⚠️ No rate limiting (stdio mode = trusted local user)
⚠️ No authentication (stdio mode = local process trust model)
Integration with Orchestrator
The stdio MCP server can be driven from any MCP client. A Python client example and an HTTP rate-limiting snippet are in docs/integration.md.
Port Allocation
- 18005: Local REST API (Express server)
- 18006: MCP HTTP streaming endpoint
Troubleshooting
Database Clone Failures
Issue: git clone fails for advisory-database
fatal: unable to access 'https://github.com/github/advisory-database.git/': Could not resolve host
Solutions:
- Check network connectivity:
ping github.com - Use VPN if behind corporate firewall
- Pre-download database:
git clone --depth=1 https://github.com/github/advisory-database.git external/advisory-database - Point to existing database:
export ADVISORY_REPO_PATH=/path/to/existing/advisory-database
Timing: Initial clone takes 2-5 minutes (hundreds of thousands of files)
Server Won't Start
Issue: Error: EADDRINUSE: address already in use
Solution:
# Check what's using the port
lsof -i :18005 # Local API
lsof -i :18006 # MCP server
# Kill process
kill -9 <PID>
Windows-Specific Issues
Issue: Bash script fails on Windows
./scripts/setup-advisory-database.sh
# bash: ./scripts/setup-advisory-database.sh: No such file or directory
Solution: Use Git Bash or WSL, or manual clone:
git clone --depth=1 https://github.com/github/advisory-database.git external/advisory-database
MCP Tools Not Available in Copilot
Issue: Copilot doesn't see advisory MCP tools
Solution:
- Verify
.vscode/mcp.jsonexists in workspace root - Reload VS Code:
Ctrl+Shift+P→ "Developer: Reload Window" - Check build:
npm run buildand verifydist/index.jsexists - Check Copilot logs:
Ctrl+Shift+P→ "Developer: Open Logs Folder"
Query Performance Issues
Symptom: Slow advisory queries (>5 seconds)
Solutions:
- First query always slower (loads database index into memory)
- Use
per_pageparameter to limit results:per_page: 10 - Filter by ecosystem to reduce search space:
ecosystem: "npm" - Check disk I/O: the advisory database is hundreds of thousands of files
Performance Benchmarks:
- First query (cold start): builds the in-memory index (slower)
- Subsequent queries: fast (index cached in memory)
- Database size: ~370K advisory JSON files (~35K github-reviewed served by default)
Database Update Strategy
Automated Updates:
The advisory database auto-updates on server start via git pull in setup script.
Manual Update:
cd external/advisory-database
git pull origin main
Update Frequency: GitHub updates advisory-database multiple times daily
Known Issues
Windows
- The bash script
setup-advisory-database.shdoesn't work on Windows - Workaround: Manually clone database or use existing one via
ADVISORY_REPO_PATH - Use
Start.ps1script for convenient startup
Database Size
- The advisory-database is ~370K advisory JSON files (~35K github-reviewed)
- Shallow clone (
--depth=1) recommended - First query loads entire index into memory (lazy loading)
- Subsequent queries are fast (cached)
Development
CI/CD Pipeline
GitHub Actions Workflows:
-
Build and Test (
.github/workflows/build.yml)- Triggers: Push to
main, PRs tomain - Matrix: Node.js 20.x, 22.x on Ubuntu latest
- Steps: Checkout → Setup Node →
npm ci→ build → verify artifacts → unit tests with coverage. End-to-end tests run on themainbranch.
- Triggers: Push to
-
Copilot PR Review (
.github/workflows/copilot-review.yml)- Triggers: PR opened or synchronized
- Action: Automatically requests Copilot code review
- Permissions: pull-requests: write, contents: read
Watch Mode:
npm run dev
Clean Build:
npm run clean
npm run build
File Structure:
services/mcp/advisory/
├── src/
│ ├── index.ts # stdio entry point
│ ├── http-server.ts # HTTP streaming server
│ ├── server.ts # MCP server factory
│ ├── local-server.ts # Express REST API
│ ├── datasources/
│ │ └── local-repository.ts # LocalRepositoryDataSource
│ ├── tools/
│ │ └── advisories.ts # MCP tools (list/get)
│ └── types/
│ └── data-source.ts # TypeScript interfaces
├── dist/ # Compiled JavaScript
├── external/
│ └── advisory-database/ # Git submodule (cloned)
├── scripts/
│ └── setup-advisory-database.sh
├── package.json
├── tsconfig.json
├── Start.ps1 # Windows startup script
└── README.md
Testing Status
✅ Working:
- TypeScript compilation
- HTTP server startup (port 18006)
- Local REST API (port 18005)
- Health endpoints
- Advisory listing with filters
- Getting specific advisory by GHSA ID
- Ecosystem filtering (npm, pip, etc.)
- Pagination
⏳ Not Yet Tested:
- MCP tool calls (list_advisories, get_advisory)
- Session management
- stdio mode
- Multiple concurrent sessions
- Search functionality
Contributing
This project does not accept external contributions (pull requests) at this time. Only verified committers from the Microsoft GitHub organization may contribute code.
If you would like to get involved:
- Report bugs or request features by opening an issue
- Reach out to the maintainers at opencode@microsoft.com
See CONTRIBUTING.md for details.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Preguntas sobre GitHub Advisory MCP
¿Qué herramientas proporciona GitHub Advisory MCP?
Expone 12 herramientas, incluidas ghsa_id, cve_id, ecosystem, severity, cwes.
¿Qué herramientas proporciona este MCP server?
El servidor ofrece dos herramientas principales: list_advisories para realizar búsquedas con filtros y get_advisory para obtener información detallada sobre un ID de GHSA específico.
¿Requiere el servidor una API key?
No, el servidor opera bajo un modelo de confianza local utilizando stdio o HTTP exclusivo para localhost, y no requiere autenticación.
¿Cómo puedo actualizar la base de datos de avisos?
La base de datos se actualiza automáticamente al iniciar el servidor mediante git pull, o puedes ejecutar manualmente git pull dentro del directorio advisory-database.