MCP of MCPs that automatically discovers, configures, and adds MCP servers on your local machine. Provides a centralized way to manage multiple MCP servers locally for seamless integration with AI agents.

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. It supports both cloud and local deployment across macOS, Windows, and Linux platforms.

Bridge any MCP server to the agent:// network, providing DNS-like identity, discovery, and trust for AI agents. Makes tools discoverable and callable via agent:// URIs with mTLS, trust scores, and capability search. Supports macOS, Windows, Linux.

Unified job aggregator for AI agents across 9+ platforms including x402, RentAHuman, Virtuals. Cloud-based MCP server.

Agent-to-agent marketplace where AI agents discover, invoke, and pay for services from other agents using USDC on Base L2. Cloud-based.

Brings powerful A2A-MCP integration into Java applications, enabling developers to annotate standard Java methods and instantly expose them as MCP Server, A2A-discoverable actions with no boilerplate or service registration overhead.