MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling

What is MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling?

MCP-Agg is a high-performance API gateway designed to unify access to multiple platforms and tools through a single, standardized interface. It enables real-time integration with services like GitHub and Slack, streamlining automation workflows while maintaining optimal performance under varying loads. By aggregating cross-channel data and scaling dynamically, developers and teams can simplify complex operations and enhance productivity.

How to use MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling?

Start by cloning the repository and setting up a Python 3.12 environment. Configure authentication settings in the .env file, run database migrations, and deploy via Uvicorn or Docker. To utilize the MCP client, generate a unique access URL through the service's endpoint, then integrate it into your workflow tools. Full step-by-step guides and API documentation are available in Swagger UI and ReDoc.

Key Features of MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling?

• Unified API Access: Centralized control over GitHub repositories, Slack channels, and future extensions through consistent endpoints.
• Security First: Role-based authentication ensures secure access to connected platforms with granular permissions.
• Adaptive Scaling: Auto-adjusts performance based on real-time demand, maintaining responsiveness even during peak usage.
• Extensible Ecosystem: Modular architecture allows adding new platforms without disrupting existing integrations.
• Developer-Friendly: Comprehensive documentation, Docker support, and built-in testing tools accelerate deployment.

Use Cases of MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling?

FAQ from MCP-Agg: Cross-Channel Aggregation & Real-Time Performance Scaling?

Q: How do I add a new platform to MCP-Agg?
Follow the extension guide in the documentation to create a new adapter module and register endpoints. Contributions for new integrations are welcome via pull requests.

Q: What if I encounter authentication issues?
Ensure OAuth tokens are valid and properly configured in your .env file. Check platform-specific API scopes and refer to the troubleshooting section in the docs.

Q: Does MCP-Agg support microservices architectures?
Yes. The modular design allows deployment as standalone services or integrated into existing microservice ecosystems via REST or gRPC.

Q: Where can I report security vulnerabilities?
Contact the maintainers directly at [email protected] for urgent security concerns.

MCP-Agg: Multi-Channel Platform Aggregator

MCP-Agg is a powerful API service that provides unified access to multiple tools and platforms through a single, consistent interface. It enables seamless integration with various services like GitHub, Slack, and more, simplifying workflow automation and enhancing productivity.

🚀 Features

• Unified Tool Interface : Access tools from multiple platforms through a standardized API
• Authentication & Authorization: Secure access to each integrated service
• Extensible Architecture : Easily add new tools and platforms
• MCP Client Support : Generate unique URLs for MCP client access
• Comprehensive Documentation : Well-documented API with Swagger UI

🛠️ Supported Platforms

GitHub

• List repositories
• Get repository details
• Manage issues and pull requests
• Access user profiles

Slack

• List channels
• Post messages
• Reply to threads
• Add reactions
• Access channel history
• Retrieve user profiles

📋 Requirements

• Python 3.12+
• PostgreSQL database
• uv package manager

🔧 Installation

1. Clone the repository:

git clone https://github.com/moosh3/mcp-agg.git
cd mcp-agg

2. Set up a virtual environment and install dependencies using uv:

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -r requirements.txt

3. Create a .env file based on the .env.example template:

cp .env.example .env
# Edit .env with your configuration settings

4. Run database migrations:

alembic upgrade head

🚀 Running the Application

Development Mode

uvicorn api.main:app --reload --port 8000

Production Mode

uvicorn api.main:app --host 0.0.0.0 --port 8000

Using Docker

docker-compose up -d

📖 API Documentation

Once the application is running, access the interactive API documentation at:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

🔌 Using the MCP Client

To access all your tools through an MCP client:

1. Register and log in to the MCP-Agg service
2. Connect your accounts for each supported platform (GitHub, Slack, etc.)
3. Navigate to the MCP URL generator endpoint
4. Use the generated URL in your MCP client configuration

🧪 Testing

Run tests using pytest:

python -m pytest

For coverage information:

python -m pytest --cov=api

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

Project maintainer: moosh3

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