What is MCP Server?
MCP Server is an AI-powered platform designed to provide intelligent, context-aware conversational capabilities using multiple LLM providers. It serves as a backend server that can be integrated with any frontend through its RESTful API.
How to use MCP Server?
To use MCP Server, clone the repository, set up a Python virtual environment, install dependencies, configure environment variables, and run the server. Access the API documentation at http://localhost:8000/docs for available endpoints.
Key features of MCP Server?
- Role-based AI advisor system with customizable instructions and tones
- Semantic memory management with vector similarity search
- Real-time streaming responses for improved user experience
- Integrated web browsing capabilities for AI-assisted research
- Dynamic context switching based on conversation triggers
- Multi-modal context support for processing images and other media
Use cases of MCP Server?
- Providing personalized business advice through specialized AI roles
- Assisting users with real-time information retrieval via web browsing
- Managing and recalling user-specific memories for context-aware interactions
FAQ from MCP Server?
- Can MCP Server handle multiple roles?
Yes! MCP Server supports multiple roles, each with its own expertise and behavior.
- Is MCP Server free to use?
Yes! MCP Server is open-source and free to use.
- How can I contribute to MCP Server?
Contributions are welcome! Please refer to the CONTRIBUTING.md file for details.
What is MCP Server?
MCP Server is an AI-powered platform designed to provide intelligent, context-aware conversational capabilities using multiple LLM providers. It serves as a backend server that can be integrated with any frontend through its RESTful API.
How to use MCP Server?
To use MCP Server, clone the repository, set up a Python virtual environment, install dependencies, configure environment variables, and run the server. Access the API documentation at http://localhost:8000/docs for available endpoints.
Key features of MCP Server?
- Role-based AI advisor system with customizable instructions and tones
- Semantic memory management with vector similarity search
- Real-time streaming responses for improved user experience
- Integrated web browsing capabilities for AI-assisted research
- Dynamic context switching based on conversation triggers
- Multi-modal context support for processing images and other media
Use cases of MCP Server?
- Providing personalized business advice through specialized AI roles
- Assisting users with real-time information retrieval via web browsing
- Managing and recalling user-specific memories for context-aware interactions
FAQ from MCP Server?
- Can MCP Server handle multiple roles?
Yes! MCP Server supports multiple roles, each with its own expertise and behavior.
- Is MCP Server free to use?
Yes! MCP Server is open-source and free to use.
- How can I contribute to MCP Server?
Contributions are welcome! Please refer to the CONTRIBUTING.md file for details.