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.
An advanced MCP-based AI agent system with intelligent tool orchestration, multi-LLM support, and enterprise-grade reliability features like semantic routing and circuit breakers.
A drop-in MCP proxy that aggregates multiple backend servers into two meta-tools for efficient tool discovery and execution. It enables AI clients to access hundreds of tools while minimizing context window usage through searchable indexing.
A single MCP endpoint for AI agents to browse, inspect, and call tools from multiple upstream MCP servers without loading all schemas upfront, reducing context overhead.