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 multiplexing gateway that aggregates multiple MCP servers into a single port, significantly reducing context token usage through a Meta-MCP discovery system. It enables dynamic tool discovery and invocation across various transport protocols including stdio, HTTP, and SSE.
A local MCP gateway that allows AI clients to manage and interact with multiple MCP servers through a single connection, providing token-efficient access to tools and resources.
Unified AI gateway that aggregates MCP tools from multiple servers and routes LLM requests with provider combos and fallback, all managed through a web UI.
A production-style MCP gateway that aggregates multiple tool servers into one surface with semantic tool search, RBAC, audit logging, and rate limiting, enabling efficient tool selection for AI agents.
