官方说明7 个来源MCP 服务8 天前

ricocf/mcp-wolframalpha

🐍 🏠 ☁️ - Access computational knowledge and data via the Wolfram Alpha API

官方说明MCP Wolfram Alpha (Server + Client) Seamlessly integrate Wolfram Alpha into your chat applications.

配置模板（请按你的客户端调整）

claude mcp add mcp-wolframalpha -- npx -y mcp-wolframalpha

这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。

★ 数取值: 86 ★ · ricocf/mcp-wolframalpha · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
来源明细: 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
收录与活跃: 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成: 综合分 703 · 86 ★ · 7 个来源 · mcp

常见问题（答案都来自我们的记录）

怎么安装？

我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。

它适合谁 / 用来做什么？

我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。

谁维护它、还在更新吗？

仓库 ricocf/mcp-wolframalpha；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

第三方质量标记

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.
---
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.
---
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.