MCP server shim for Prodius — lets AI agents reach you by voice
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# prodius-mcp **Let your AI agents reach you by voice.** `prodius-mcp` is a lightweight [MCP](https://modelcontextprotocol.io) server that bridges any MCP-capable AI tool (Claude Code, Cursor, Windsurf, Codex CLI, and more) to the [Prodius](https://prodius.ai) desktop app. When an agent needs your input, a popup appears on your screen — wherever you are — and you answer by voice. No switching back to the terminal. It's a thin stdio shim: **standard library only, no third-party dependencies**, fast startup, and it talks only to the Prodius desktop app running locally on `127.0.0.1`. > **This package needs the Prodius desktop app.** On its own it does nothing: the popup, the voice capture and the transcription all happen in the desktop app. Get it at [prodius.ai/download](https://prodius.ai/download/). ## Requirements - Python 3.10+ - The [Prodius desktop app](https://prodius.ai/download/) installed and running, with **Voice Bridge** enabled in settings. ## Install Published on PyPI as [`prodius-mcp`](https://pypi.org/project/prodius-mcp/) (current release: 0.2.1692): ```bash pip install prodius-mcp ``` If `prodius-mcp` isn't found afterwards, make sure the Python environment you installed into is on your `PATH` — or use `pipx install prodius-mcp`. ## Connect your tool ### Claude Code The quickest start is one command: ```bash claude mcp add prodius -- prodius-mcp ``` For the full experience (correct agent label in the modal header, automatic conversation reset on `/clear`), add the block below to your `~/.claude/settings.json` instead. The `claude mcp add` shortcut omits both pieces. ```json { "env": { "PRODIUS_AGENT_NAME": "Claude Code" }, "mcpServers": { "prodius": { "command": "prodius-mcp", "args": [], "env": { "PRODIUS_AGENT_NAME": "Claude Code" } } }, "hooks": { "SessionStart": [ { "matcher": "*", "hooks": [{ "type": "command", "command": "prodius-mcp-reset" }] } ] } } ``` The `SessionStart` ho…
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