ManusMCP is a project that implements AI agent workflows using Flowise. It features specialized AI agents with distinct roles (Planner, FileWizard, CommandRunner, WebNavigator) that can be used for task automation and complex problem-solving.

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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