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akalaric/mcp-wolframalpha

Wolfram Alpha integration for Python

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Source: collected from the abordage/awesome-mcp list · type: MCP server
Harvest history: first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
Score: score 303 · 3 sources · mcp

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MCP Wolfram Alpha (Server + Client)

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

Seamlessly integrate Wolfram Alpha into your chat applications.
This project implements an MCP (Model Context Protocol) server designed to interface with the Wolfram Alpha API. It enables chat-based applications to perform computational queries and retrieve structured knowledge, facilitating advanced conversational capabilities.
Included is an MCP-Client example utilizing Gemini via LangChain, demonstrating how to connect large language models to the MCP server for real-time interactions with Wolfram Alpha’s knowledge engine.
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Features
- **Wolfram|Alpha Integration** for math, science, and data queries.
- **Modular Architecture** Easily extendable to support additional APIs and functionalities.
- **Multi-Client Support** Seamlessly handle interactions from multiple clients or interfaces.
- **MCP-Client example** using Gemini (via LangChain).
- **UI Support** using Gradio for a user-friendly web interface to interact with Google AI and Wolfram Alpha MCP server.
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Installation
Clone the Repo
Set Up Environment Variables
Create a .env file based on the example:
- WOLFRAM_API_KEY=your_wolframalpha_appid
- GeminiAPI=your_google_gemini_api_key *(Optional if using Client method below.)*
Install Requirements
Install the required dependencies with uv:
Ensure uv is installed.
Configuration
To use with the VSCode MCP Server:
1. Create a configuration file at .vscode/mcp.json in your project root.
2. Use the example provided in configs/vscode_mcp.json as a template.
3. For more details, refer to the VSCode MCP Server Guide.
To use with Claude Desktop:
Client Usage Example
This project includes an LLM client that communicates with the MCP server.
Run with Gradio UI
- Required: GeminiAPI
- Provides a local web interface to interact with Google AI and Wolfram Alpha.
- To run the client directly from the command line:
Docker
To build and run the client inside a Docker container:
UI
- Intuitive interface built with Gradio to interact with both Google AI (Gemini) and the Wolfram Alpha MCP server.
- Allows users to switch between Wolfram Alpha, Google AI (Gemini), and query history.