mcp-wolframalpha
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This project implements an MCP server designed to interface with the Wolfram Alpha API, enabling chat-based applications to perform computational queries and retrieve structured knowledge.
The MCP Wolfram Alpha server is a robust solution for integrating Wolfram Alpha's computational capabilities into chat applications. By leveraging the Model Context Protocol, this server facilitates seamless communication between chat interfaces and the Wolfram Alpha API, allowing for advanced conversational interactions. The server's modular architecture supports easy extension to additional APIs, while its multi-client support ensures efficient handling of multiple interactions. An included MCP-Client example demonstrates integration with large language models using Gemini via LangChain, showcasing real-time interactions with Wolfram Alpha's knowledge engine. Additionally, a user-friendly UI built with Gradio provides an intuitive web interface for interacting with both Google AI and the Wolfram Alpha MCP server.
Features
- Wolfram|Alpha Integration: Enables math, science, and data queries through Wolfram Alpha.
- Modular Architecture: Easily extendable to support additional APIs and functionalities.
- Multi-Client Support: Seamlessly handle interactions from multiple clients or interfaces.
- MCP-Client Example: Utilizes Gemini via LangChain for real-time interactions.
- UI Support: Uses Gradio for a user-friendly web interface.
