What is MCP Server?
MCP Server is a platform that implements AI-powered agents capable of interacting with a Multi-Channel Processing (MCP) server to perform intelligent tasks, data processing, and automation across various input channels.
How to use MCP Server?
To use MCP Server, clone the repository, install the necessary dependencies, configure your environment variables, and start the server. You can then register AI agents and send requests via the provided APIs.
Key features of MCP Server?
- Configurable AI agents with customizable behavior
- Multi-channel data stream handling by the MCP server
- Real-time processing and decision-making capabilities
- Extensible plugin system for adding new agents or channels
- Support for both RESTful and WebSocket APIs
Use cases of MCP Server?
- Automating customer support through AI agents
- Processing data from multiple sources in real-time
- Integrating various communication channels for seamless interaction
FAQ from MCP Server?
- What technologies are used in MCP Server?
The project uses Node.js for the backend, along with AI/ML technologies like OpenAI API and MongoDB for data storage.
- Is MCP Server scalable?
Yes! The architecture is designed to be modular and scalable, allowing for easy addition of new features and agents.
- How can I contribute to MCP Server?
Contributions are welcome! You can submit pull requests or open issues to discuss potential changes.