Manusmcp
An orchestrator for specialized AI agents that facilitates collaboration on complex tasks through the Model Context Protocol. It provides a structured communication layer and shared context to enhance agent capabilities and workflow automation.
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mantrakp04
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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
- Open Flowise UI in your browser
- Go to "Agentflows" section
- Click on "Add New" (Top Right)
- Click Settings (Top Right)
- Click Import and select the v2.2 and save it
- Create a new flow, (FROM STEP 2)
- 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:
- Fork the repository
- Create a feature branch
- Submit a pull request with your changes
Sources
Disclaimer
Currently testing in main branch.