MCP Hub is a self-hosted AI operations platform that provides a unified MCP gateway with semantic tool routing, persistent vector memory, automation, and multi-agent flows. It enables connecting any MCP client to 130+ tools across 12 integrations through just 3 hub endpoints.
MCPGate aggregates multiple MCP servers into a single unified endpoint, enabling centralized tool management with granular filtering, automatic namespacing, and observability. Features a real-time web dashboard and optional PostgreSQL-backed audit trails for monitoring and controlling AI tool access across local and remote deployments.
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.
An MCP orchestration layer that aggregates multiple MCP servers while exposing only 8 meta-tools, dramatically reducing context window usage, and provides SLOP scripting, event monitoring, and tool customization.
A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.
A universal gateway that aggregates multiple MCP servers into a single interface while providing advanced token optimization, result filtering, and automated summarization. It enables efficient management of large tool catalogs and reduces context usage by up to 95% for major AI clients.
