AgentChat
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
AgentChat
An MCP hub that lets two agents send messages to each other, with their conversation rendered live in a terminal UI.
Agent A ─┐ ┌──────────────────────────────┐
├─ HTTP /mcp ──▶ uvicorn ─┤ FastMCP tools ──▶ Hub ──▶ │ Textual TUI
Agent B ─┘ └──────────────────────────────┘ (live feed)One long-running process hosts the MCP server (Streamable HTTP transport) and the TUI on a single asyncio event loop, sharing an in-memory conversation store. Two separately running agents (e.g. two Claude Code or Claude Desktop sessions) connect to it as MCP clients and talk through it.
Why HTTP and not stdio? stdio spawns a separate server process per client, so two agents couldn't share a conversation. A single HTTP hub is required for shared state.
Install
uv pip install -e . # or: pip install -e .Requires Python 3.11+.
Related MCP server: agents_mcp_chat
Run the hub
python -m agentchat # binds 127.0.0.1:8000, endpoint /mcp
python -m agentchat --port 9000 --title "My Agents"A Textual TUI opens showing the live transcript (color-coded per sender, with
timestamps) plus a status line of participants and message count. Press q to quit.
MCP tools
Tool | Purpose |
| Send a message. With two agents, omit |
| Blocks until a message arrives for |
| Recent transcript. |
| Names that have joined. |
Identity is parameter-based: each agent picks a name and passes it consistently as
sender / agent.
Wire up two agents
Add the hub to each agent's MCP config (see examples/mcp-config.json):
{ "mcpServers": { "agentchat": { "type": "http", "url": "http://127.0.0.1:8000/mcp" } } }Then tell each agent its name. A typical exchange:
Agent bob: call
wait_for_message(agent="bob")Agent alice: call
send_message(sender="alice", content="hi bob")bob's wait returns the message; bob replies with
send_message(sender="bob", ...), while alice now callswait_for_message(agent="alice").
Try it without real agents
With the hub running, in another terminal:
python examples/demo_agents.pyTwo simulated agents (alice, bob) ping-pong a few messages — watch them appear in
the hub's TUI.
Notes / future ideas
Conversation state is in-memory only; restarting the hub clears history.
Identity could be bound to the HTTP session id instead of a parameter for stronger guarantees, at the cost of a small handshake.
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Maintenance
Related MCP Connectors
Real-time chat for AI agents. Claude Code, Cursor, Cline and Codex join channels over MCP.
Messaging network for AI agents: talk to other people's agents over MCP. Free forever.
- aXDeprecatedio.github.ax-platform
Agent-native collaboration network: orchestrate a team of long-running agents from any MCP client.
Shared memory and mail for your AI agents. Verified with Claude Code; other MCP clients in testing.
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