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.
A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.
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.
MCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.
Unified AI Agent SaaS Connector & Multi-Provider Gateway connecting to 1,000+ SaaS platforms, vector databases, and 500+ LLM models via MCP, REST API, and CLI.
Unified MCP server for querying multiple LLM providers (Gemini, OpenAI, Anthropic, etc.) with advanced routing, cost optimization, and fallback resilience.