MCP.so
ログイン

Multi-Agent Thinking MCP Server

@Hajime-Y

リポジトリ

Multi-Agent Thinking MCP Server について

MCP server for multi-agent thinking using smolagents

基本情報

カテゴリ

AI とエージェント

ライセンス

Apache-2.0 license

ランタイム

python

トランスポート

stdio

公開者

Hajime-Y

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

コメント

「AI とエージェント」の他のコンテンツ

Unreal Engine Generative AI Support Plugin

prajwalshettydev

Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti

622

Web Agent Protocol

OTA-Tech-AI

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

500

21st.dev Magic AI Agent

21st-dev

It's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic

5.3K

欢迎来到 智言平台

Shy2593666979

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

797

Model Context Protocol for Unreal Engine

chongdashu

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

2.0K