agentxsuite
Verified Safeby alparn
Overview
A unified open-source platform for connecting, managing, and monitoring AI agents and tools across various Model Context Protocol (MCP) servers.
Installation
docker-compose up -dEnvironment Variables
- SECRET_KEY
- POSTGRES_DB
- POSTGRES_USER
- POSTGRES_PASSWORD
- REDIS_URL
- SECRETSTORE_BACKEND
- SECRETSTORE_FERNET_KEY
- CORS_ALLOWED_ORIGINS
- NEXT_PUBLIC_API_URL
- NEXT_PUBLIC_MCP_FABRIC_URL
- NODE_ENV
- MCP_FABRIC_HOST
- MCP_FABRIC_PORT
- GITHUB_TOKEN
- JWT_PRIVATE_KEY
- JWT_PUBLIC_KEY
- JWT_ISSUER
- MOCK_MCP_SERVER_URL
- DEBUG
- OIDC_ISSUER
Security Notes
The project demonstrates a strong focus on security, implementing a default-deny policy engine, Fernet-encrypted secret storage, and comprehensive audit logging. JWT tokens are used for authentication with explicit handling of claims and replay protection. The Docker setup correctly distinguishes development (debug=True) from production. Potential areas requiring continuous vigilance include: ensuring input validation for dynamically loaded tool schemas effectively prevents injection vulnerabilities for `sql` type resources, and rigorously managing access control to the `SecretStore` (though `check_permissions=False` is noted for internal service calls). The `mcp-http-bridge.js` is a client-side bridge for integration, not a server vulnerability. The use of `signal.SIGALRM` for timeouts in the main thread is a common pattern but not a direct security vulnerability.
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