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ManusMCP AI Agent Framework

STDIO

AI agent framework using Flowise to deploy specialized team members for collaborative tasks.

ManusMCP

An AI agent framework using Flowise to deploy AI team members with specialized capabilities.

Note: Tested with Anthropic models only. Reason

What is ManusMCP?

ManusMCP is a framework for orchestrating specialized AI agents that work together to accomplish complex tasks. The Model Context Protocol (MCP) enables these agents to collaborate effectively by providing a shared context and communication layer.

Installation

# Clone the repository git clone https://github.com/mantrakp04/manusmcp.git cd manusmcp/pytools # Install dependencies npm i -g bun bash flowise.sh

Usage

1: Run it with docker

cp .env.example .env docker-compose up -d

2: Open Flowise

  1. Open Flowise UI in your browser
  2. Go to "Agentflows" section
  3. Click on "Add New" (Top Right)
  4. Click Settings (Top Right)
  5. Click Import and select the v2.2 and save it
  6. Create a new flow, (FROM STEP 2)
  7. Use v2.3 as the flow file

[Optional] Checkout the MCP Server

cd pytools bunx @modelcontextprotocol/inspector uv run manusmcp

Recommended runtime: bun

Contributing

This project is currently in development with initial working functionality. Here are the core components that could benefit from community contributions:

  • Prompts: Help refine the AI agent prompts for more effective interactions
  • Workflows: Enhance the workflow definitions in Agents.json
  • MCP Server: Improve the Model Context Protocol server implementation in .runtime/index.ts

To contribute:

  1. Fork the repository
  2. Create a feature branch
  3. Submit a pull request with your changes

Sources

Disclaimer

Currently testing in main branch.

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