Multi-Agent Thinking MCP Server

@Hajime-Y

About Multi-Agent Thinking MCP Server

MCP server for multi-agent thinking using smolagents

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "multiagents-thinking": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

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Overview

What is Multi-Agent Thinking MCP Server?

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.

How to use Multi-Agent Thinking MCP Server?

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.

Key features of Multi-Agent Thinking MCP Server

Automatically generates multiple perspectives from a single task description.
Runs specialist agents in parallel, each focusing on a distinct approach.
Supports diverse problem‑solving strategies: perspective sharing, task sharing, stage sharing, parallel solving, branch search, and decomposition‑reconstruction.
Integrates reports from all specialists into a final conclusion or solution.

Use cases of Multi-Agent Thinking MCP Server

Analyze a design problem from several disciplinary viewpoints simultaneously.
Generate competing solution approaches for a complex task.
Decompose a large problem into sub‑tasks handled by separate specialist agents.

FAQ from Multi-Agent Thinking MCP Server

What are the runtime requirements?

Python 3.11 or later, the uv package manager, and API keys for OpenAI and HuggingFace.

What API keys are needed?

You must provide OPENAI_API_KEY and HF_TOKEN in a .env file at the project root.

How do I configure Multi-Agent Thinking MCP Server for Claude Desktop?

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.

How do I start the server?

Run uv run python -m src.multiagents from the project root after installing dependencies and setting environment variables.

What tool does the server expose?

It exposes the multiagent.multiagent_thinking tool for MCP clients to call.

Frequently asked questions

What are the runtime requirements?

Python 3.11 or later, the `uv` package manager, and API keys for OpenAI and HuggingFace.

What API keys are needed?

You must provide `OPENAI_API_KEY` and `HF_TOKEN` in a `.env` file at the project root.

How do I configure Multi-Agent Thinking MCP Server for Claude Desktop?

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.

How do I start the server?

Run `uv run python -m src.multiagents` from the project root after installing dependencies and setting environment variables.

What tool does the server expose?

It exposes the `multiagent.multiagent_thinking` tool for MCP clients to call.

Comments

Basic information

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