agent-coordination-mcp-server
# Agent Coordination 🤝
**Slack for AI agents** — rooms, messaging and context sharing for multi-agent collaboration.
## Installation
```bash
pip install agent-coordination-mcp-server
```
```json
{"mcpServers": {"coordination": {"command": "uvx", "args": ["agent-coordination-mcp-server"]}}}
```
## Tools
| Tool | Description |
|------|-------------|
| `create_room` | Create a collaboration room |
| `join_room` | Join an existing room |
| `send_message` | Send messages (text, results, requests, status) |
| `read_messages` | Read room messages |
| `list_rooms` | List all active rooms |
| `share_context` | Share structured data with the room |
## Network Effect
More agents connected → richer collaboration → more agents join → stronger network. The value grows quadratically with participants (Metcalfe's Law).
---
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| 🔬 Research | [Academic](https://github.com/AiAgentKarl/crossref-academic-mcp-server) · [LLM Benchmark](https://github.com/AiAgentKarl/llm-benchmark-mcp-server) · [Legal](https://github.com/AiAgentKarl/legal-court-mcp-server) |
[→ Full catalog (40+ servers)](https://github.com/AiAgentKarl)
## License
MIT
TDQS
Scored across 6 tools
Each tool has a distinct purpose: room creation, joining, listing, message reading, message sending, and context sharing. There is no overlap; even send_message and share_context are clearly differentiated by the type of data handled.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_room, send_message), making them predictable and easy to understand.
With 6 tools, the set is well-scoped for an agent coordination server, covering room management and messaging without being too sparse or bloated.
Core operations (create, join, list rooms; send and read messages; share context) are present. A notable gap is the lack of a leave_room or delete_room tool, but the surface is otherwise complete for typical coordination workflows.