Official description7 sourcesMCP servers8d ago
ricocf/mcp-wolframalpha
๐ ๐ โ๏ธ - Access computational knowledge and data via the Wolfram Alpha API
View on GitHub โDirect link ยท no redirect page
Official descriptionMCP Wolfram Alpha (Server + Client) Seamlessly integrate Wolfram Alpha into your chat applications.
Config template (adjust for your client)
claude mcp add mcp-wolframalpha -- npx -y mcp-wolframalpha
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 86 โ ยท ricocf/mcp-wolframalpha ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
- Harvest history
- first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
- Score
- score 703 ยท 86 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
ricocf/mcp-wolframalpha๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.Third-party quality signals
MCP Wolfram Alpha (Server + Client)
ไปฅไธๆๅฝ่ช่ฏฅไปๅบ็ README๏ผ็ๆฎต๏ผ ยท ๅจ GitHub ่ฏปๅฎๆด README โ
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 Alphaโs 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.
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 Alphaโs 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.
- Source
- awesome ยท https://github.com/ricocf/mcp-wolframalpha
- Browse by field
- MCP servers
- Traction
- 86 โ
- added
- yesterday
More in MCP servers
Filed under
Every tag opens the full list for that filter. Counts are the live catalogue figures.