Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Source-available, self-hosted AI workflow automation platform. Build multi-agent, RAG, and tool-using pipelines on a visual canvas, then expose any workflow as an MCP server (stdio/SSE/Streamable HTTP), or call external MCP servers from the agent node.
File-based Coordination Protocol: behavior governance layer for multi-agent teams. 45 MCP tools (writetask, writereport, writeissue, writereview, lifecycle claim/submit/approve…). Agents coordinate via structured Markdown files (\lifecycle/) — no message broker, no database, just the filesystem. Official MCP Registry: io.github.joinwell52-AI/fcop (v3.2.5). pip install fcop-mcp