What are the runtime requirements?
Python 3.11 or later, the `uv` package manager, and API keys for OpenAI and HuggingFace.
@Hajime-Y
Basic information
MCP server for multi-agent thinking using smolagents
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"multiagents-thinking": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
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Multi-Agent Thinking MCP Server is a server that generates multiple specialist agents to tackle complex tasks from different perspectives and approaches in parallel. It is built on HuggingFace’s smolagents library and FastMCP, and is designed for users who need deep, multi‑angle analysis or solution generation.
Clone the repository, create a virtual environment with uv, install dependencies with uv sync, then set OPENAI_API_KEY and HF_TOKEN in a .env file. Start the server with uv run python -m src.multiagents. MCP clients such as Cursor IDE can invoke the tool via multiagent.multiagent_thinking. For Claude Desktop, add a configuration entry in the MCP servers settings.
Python 3.11 or later, the `uv` package manager, and API keys for OpenAI and HuggingFace.
You must provide `OPENAI_API_KEY` and `HF_TOKEN` in a `.env` file at the project root.
Add a JSON entry to your Claude Desktop configuration (e.g., `~/.config/Claude/claude_desktop_config.json`) with the absolute path to `uv` and to the project directory, using `uv run python -m src.multiagents` as the command.
Run `uv run python -m src.multiagents` from the project root after installing dependencies and setting environment variables.
It exposes the `multiagent.multiagent_thinking` tool for MCP clients to call.
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