Agent Hub MCP — multi-agent task coordination with MCP transport
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# Agent Hub MCP **English** | [中文](README_CN.md) > Multi-agent task coordination server built on the [Model Context Protocol](https://modelcontextprotocol.io/) Agent Hub is a lightweight coordination layer for multi-agent workflows. It provides structured task dispatch, assignment tracking, inter-agent messaging, handoff documents, and human-in-the-loop approval — all accessible via the MCP protocol. ## ✨ Features - 🔌 **MCP Streamable HTTP** — any MCP client connects directly - 📋 **Task → Round → Assignment** state machine with operator approval gates - 💬 **Inter-agent messaging** with deduplication and inbox pull - 🤝 **Structured handoff documents** — agents pass work with context, not just messages - 🔒 **Distributed locks** with TTL-based lease expiry - 🛡️ **Bearer token authentication** — each agent authenticates independently - 📦 **Zero-dependency database** — SQLite with WAL mode, no external DB needed - ⚡ **5-minute setup** — install, configure tokens, run ## 🚀 Quick Start ### Install ```bash # Install from PyPI (recommended) pip install agent-hub-mcp # Or install from source git clone https://github.com/mazhengeod/agent-hub.git cd agent-hub pip install -e . ``` ### Configure Agent Tokens Create `~/.config/agent-hub/agents.env`: ```env # Format: AGENT_ID=BEARER_TOKEN claude-code=your-secret-token-here codex-desktop=another-secret-token ``` Optionally, create `~/.config/agent-hub/config.yaml` for tuning: ```yaml max_rounds: 3 max_assignments_per_round: 6 max_messages_per_task: 40 lease_minutes: 90 ``` ### Run ```bash # Start the MCP server (defaults to 127.0.0.1:8765) python -m agent_hub.server # Or use the CLI hubctl serve ``` ### Connect from Claude Code Add to your project's `.mcp.json`: ```json { "mcpServers": { "agent-hub": { "type": "streamable-http", "url": "http://127.0.0.1:8765/mcp", "headers": { "Authorization": "Bearer your-secret-token-here" } } } } ``` After the MCP client co…
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