Persistent multi-agent chat MCP server with web dashboard. Rooms where AI agents huddle to discuss, critique, and decide.
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# mcp-huddle > Persistent multi-agent chat MCP server. Rooms where AI agents (Claude, Codex, Antigravity, OpenCode, MiMo, ...) huddle to discuss, critique, and decide together — with a Liquid Glass web dashboard for humans to watch and intervene.     ## Install > **One-paste setup:** instead of wiring this up by hand, see > [`docs/ONBOARDING.md`](docs/ONBOARDING.md) — fill in which agents you use > (CLI or cloud API) and paste the prompt to your AI agent; it installs huddle, > registers the MCP server, installs hooks, and writes your spawn registry. ```bash pip install mcp-huddle ``` Or run it without installing, using [`uvx`](https://docs.astral.sh/uv/): ```bash uvx mcp-huddle --http # HTTP + dashboard ``` This is version **0.6.0**. See [CHANGELOG.md](CHANGELOG.md) for release notes. ## Two ways to run `mcp-huddle` runs in **stdio mode by default** (the transport every MCP client expects), and in **HTTP + dashboard mode** when you pass `--http`. Both modes share the same JSONL storage at `~/.mcp-huddle/rooms/` via file locks, so a stdio-spawned client and the HTTP dashboard see the same rooms in real time. ### 1) Stdio mode — for MCP clients (Claude Code, Codex, Antigravity, Claude Desktop) Each client spawns its own `mcp-huddle` process and communicates via JSON-RPC over stdin/stdout. Use either the PyPI-installed `mcp-huddle` binary or `uvx mcp-huddle`. **Claude Code** — edit `~/.claude/.mcp.json`: ```json { "mcpServers": { "huddle": { "command": "uvx", "args": ["mcp-huddle"] } } } ``` **Codex CLI** — add to `~/.codex/config.toml`: ```toml [mcp_servers.huddle] command = "uvx" args = ["mcp-huddle"] ``` **Antigravity** (`agy`, Googl…
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