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-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.
A meta-MCP server that manages and aggregates other MCP servers, enabling LLMs to dynamically extend their own capabilities by searching for, adding, and configuring tool servers.
One MCP to rule them all. A single MCP endpoint that aggregates many downstream connectors — remote MCP servers and plain HTTP APIs — and presents agents a fixed set of nine meta-tools.
A universal MCP server for registering internal, external, and OpenAPI-based APIs as MCP tools. It exposes them to MCP clients via Streamable HTTP and provides admin portal, RBAC/session auth, credential injection, and audit logging.
