multiagents-thinking
2
This project is a Multi-Component Protocol server aimed at solving complex tasks through parallel consideration and execution by multiple specialized agents. It employs diverse problem-solving strategies and integrates various approaches to provide deep and multifaceted analysis using HuggingFace's smolagents library and FastMCP.
Multi-Agent Thinking MCP Server
- Aims to consider and execute complex tasks from multiple perspectives and approaches in parallel using a Multi-Component Protocol server.
- Generates multiple specialist agents internally to divide and execute tasks based on their expertise.
- Based on HuggingFace's smolagents library and FastMCP.
Main Features
-
Multi-Agent Thinking:
- Auto-generates multiple perspectives and approaches from a single task description.
- Executes specialist agents in parallel who specialize in various approaches.
- Supports diverse problem-solving strategies such as perspective division, task division, and more.
- Integrates reports from specialists to present final conclusions and solutions.
-
MCP Server:
- Functions as an MCP server using
fastmcp
. - Can be called as a
multiagent.multiagent_thinking
tool from MCP clients like Cursor IDE.
- Functions as an MCP server using
Requirements
- Python 3.11 or later
uv
package manager- APIs: OpenAI API Key, HuggingFace Token