add fcop-mcp - 35 MCP tools for file-based multi-agent coordination (governance protocol)

README.md

@@ -3059,6 +3059,7 @@ Interact with Git repositories and version control platforms. Enables repository
 - [heymrun/heym](https://github.com/heymrun/heym) [![heymrun/heym MCP server](https://glama.ai/mcp/servers/heymrun/heym/badges/score.svg)](https://glama.ai/mcp/servers/heymrun/heym) 🐍 📇 🏠 - 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.
 - [zhangpanda/gomcp](https://github.com/zhangpanda/gomcp) [![zhangpanda/gomcp MCP server](https://glama.ai/mcp/servers/zhangpanda/gomcp/badges/score.svg)](https://glama.ai/mcp/servers/zhangpanda/gomcp) 🏎️ - A Gin-like framework for building MCP servers in Go. Struct-tag auto schema, middleware chain, auth, tool groups, adapters for Gin/OpenAPI/gRPC, async tasks, Inspector UI.
 - [kioie/tiny-go-mcp-server](https://github.com/kioie/tiny-go-mcp-server) [![tiny-go-mcp-server MCP server](https://glama.ai/mcp/servers/kioie/tiny-go-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/kioie/tiny-go-mcp-server) 🏎️ 🏠 🍎 🪟 🐧 - Minimal Go wrapper on the official [modelcontextprotocol/go-sdk](https://github.com/modelcontextprotocol/go-sdk) for stdio MCP servers: struct-tag JSON Schema inference, `tinymcp` library, reference binary `tiny-go-mcp`, ~5MB static builds. For teams that want go-sdk compliance with minimal boilerplate (`go get github.com/kioie/tiny-go-mcp-server/tinymcp@v1.0.0`).
+- [joinwell52-AI/FCoP](https://github.com/joinwell52-AI/FCoP) [![FCoP MCP server](https://glama.ai/mcp/servers/joinwell52-AI/FCoP/badges/card.svg)](https://glama.ai/mcp/servers/joinwell52-AI/FCoP) [![FCoP MCP server](https://glama.ai/mcp/servers/joinwell52-AI/FCoP/badges/score.svg)](https://glama.ai/mcp/servers/joinwell52-AI/FCoP/score) 🐍 🏠 - File-based Coordination Protocol: behavior governance layer for multi-agent teams. 45 MCP tools (write_task, write_report, write_issue, write_review, 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
 - [FastMCP](https://github.com/jlowin/fastmcp) 🐍 - A high-level framework for building MCP servers in Python
 - [jamjet-labs/jamjet](https://github.com/jamjet-labs/jamjet) [![jamjet-labs/jamjet MCP server](https://glama.ai/mcp/servers/jamjet-labs/jamjet/badges/score.svg)](https://glama.ai/mcp/servers/jamjet-labs/jamjet) 🦀 🐍 - Durable, agent-native AI runtime with native MCP client + server and A2A support. Rust core for performance, Python authoring for ergonomics. Features graph-based workflows, durable execution, and multi-agent coordination.
 - [FastMCP](https://github.com/punkpeye/fastmcp) 📇 - A high-level framework for building MCP servers in TypeScript