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.
Similar Servers
klavis
Creates an AI agent that uses Klavis Strata to interact with Gmail and YouTube through MCP, demonstrating how to summarize a YouTube video and email the summary.
mcpstore
MCPStore acts as an orchestration layer for managing Microservice Context Protocol (MCP) services and adapting them as tools for AI frameworks like LangChain, AutoGen, and others.
metorial-platform
The Metorial Platform is an open source integration platform for agentic AI, designed to connect any AI model to thousands of APIs, data sources, and tools with a single function call, built to scale for enterprise-grade AI applications.
1xn-vmcp
An open-source platform for composing, customizing, and extending multiple Model Context Protocol (MCP) servers into a single logical, virtual MCP server, enabling fine-grained context engineering for AI workflows and agents.