An MCP server that enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing for sending messages, tracking tasks, and receiving streaming responses.
MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.
MCP server that lets AI agents execute structured business processes by exposing process steps as tools with a sequenced event bus to prevent skipping steps.
A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.
Enterprise MCP server providing a suite of tools including file, database, GitHub, Slack, calendar, email, vector search, and Python execution, with safe defaults and OpenAI integration for automatic tool selection.