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MCP Wolfram Alpha (Client + Server)

@ricocf

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

ricocf

关于 MCP Wolfram Alpha

A Python-powered Model Context Protocol MCP server and client that uses Wolfram Alpha via API.

MCP Wolfram Alpha 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-wolframalpha": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

MCP Wolfram Alpha 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Wolfram Alpha?

MCP Wolfram Alpha is an MCP (Model Context Protocol) server that interfaces with the Wolfram Alpha API, enabling chat-based applications to perform computational queries and retrieve structured knowledge. It includes an MCP‑Client example utilizing Gemini via LangChain. It is designed for developers who want to integrate Wolfram Alpha’s computational engine into conversational AI systems.

How to use MCP Wolfram Alpha?

Clone the repository, set the required WOLFRAM_API_KEY (and optionally GeminiAPI) in a .env file, and install dependencies with pip install -r requirements.txt or uv sync. For Claude Desktop, add the provided JSON configuration; for VSCode, use the configs/vscode_mcp.json template. Run the client as a CLI tool with python main.py or launch the Gradio UI with python main.py --ui. Docker images are also available for both modes.

Key features of MCP Wolfram Alpha

  • Wolfram|Alpha integration for math, science, and data queries.
  • Modular architecture easily extendable to additional APIs.
  • Multi‑client support handling interactions from multiple interfaces.
  • MCP‑Client example using Gemini with LangChain.
  • UI support via Gradio for a web interface.

Use cases of MCP Wolfram Alpha

  • Add real‑time mathematical and scientific computation to chat bots.
  • Build a user‑friendly Gradio web interface for querying Wolfram Alpha.
  • Integrate Wolfram Alpha with Claude Desktop or VSCode for on‑demand knowledge retrieval.
  • Combine Gemini’s language model with Wolfram Alpha’s structured data in a conversational pipeline.

常见问题

1

What API keys are required?

`WOLFRAM_API_KEY` is required. `GeminiAPI` is optional and used only if you run the included client.

2

How do I install dependencies?

Run `pip install -r requirements.txt` or, if using `uv`, execute `uv sync`.

3

How can I run the Gradio UI?

Run `python main.py --ui` after setting up the environment and dependencies.

4

How do I use MCP Wolfram Alpha with Claude Desktop?

Add the following to your Claude Desktop configuration: ```json { "mcpServers": { "WolframAlphaServer": { "command": "python3", "args": ["/path/to/src/core/server.py"] } } } ```

5

Is Docker support available?

Yes, Dockerfiles are provided in `.devops/` for both the UI (`ui.Dockerfile`) and the CLI client (`llm.Dockerfile`). Build and run them with the commands shown in the README.

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