Enterprise-grade dynamic MCP proxy that eliminates token bloat by lazy-loading tool schemas based on semantic intent, enabling efficient orchestration of multiple backend tools from a single endpoint.
A production-ready unified entry point for AI agents that implements the Model Context Protocol (MCP). It provides a secure gateway with rate limiting, authentication, and observability for managing and proxying requests to multiple downstream APIs.
Semantic tool-routing gateway for MCP servers that cuts 70-90% of context tokens, with RBAC, API-key auth, response caching, hot-reload config, and a real-time observability dashboard.
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.
Universal MCP router and gateway that bridges LLM agents to OpenAPI, GraphQL, and AWS Lambda services with ISO/IEC 42001 AI governance, RBAC, PII redaction, semantic tool routing, and a web dashboard.
An enterprise-grade MCP gateway and security router that gives AI agents secure, observable access to internal corporate knowledge through hybrid vector+BM25 retrieval, RBAC, and prompt injection protection.