A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.
A centralized management platform that aggregates multiple Model Context Protocol (MCP) servers into a single unified endpoint for AI agents. It provides a web interface for hot-swappable tool management, proxying of existing servers, and AI-powered generation of custom MCP plugins.
A production-ready MCP gateway and control plane that provides credential vault, policy engine, audit logging, and managed runtime for routing tool calls between AI agents and downstream MCP servers.
A unified gateway and web dashboard that aggregates multiple MCP servers into a single Streamable HTTP endpoint. It supports stdio, SSE, and HTTP protocols, featuring optimized tool exposure modes to reduce token consumption for AI clients.
A FastAPI-based MCP gateway that aggregates multiple MCP servers, applies per-server tool allow/block policies, and re-exposes them as streamable HTTP MCP endpoints. It includes a local LLM safety guard for SQL/PII checks and a request history UI.
A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.
