WolframAlpha LLM MCP Server: Precision Analytics & Structured Insights

WolframAlpha's LLM MCP Server delivers precise structured knowledge and math solutions, empowering developers to integrate advanced analytics seamlessly.

Visit Repository

✨ Research And Data

4.2(17 reviews)

25 saves

11 comments

Users create an average of 47 projects per month with this tool

About WolframAlpha LLM MCP Server

What is WolframAlpha LLM MCP Server: Precision Analytics & Structured Insights?

The WolframAlpha LLM MCP Server acts as an intermediary protocol layer connecting computational knowledge engines with large language models (LLMs). By adhering to the Model Context Protocol (MCP) standard, it enables seamless access to WolframAlpha's API capabilities, transforming complex queries into structured, machine-readable responses. This server excels in delivering precise analytical outputs while maintaining contextual integrity for downstream processing by LLM systems.

How to Use WolframAlpha LLM MCP Server: Precision Analytics & Structured Insights?

Implementation follows a three-phase workflow:
1. Deployment: Clone the repository and install dependencies via npm.
2. Configuration: Embed your WolframAlpha API key within the VSCode settings JSON file as specified, ensuring environment variables are properly scoped.
3. Interaction: Utilize the provided tools (`ask_llm`, `get_simple_answer`) through Cline or integrated development environments to execute queries, with optional validation through test suites requiring actual API calls.

WolframAlpha LLM MCP Server Features

Key Features: Bridging Calculation and Natural Language

Contextual Response Framing: Returns results in nested JSON structures that preserve both raw computational data and human-readable explanations
Granular Query Handling: Supports multi-step mathematical derivations, unit conversions, and symbolic computations within a single API call
Security-by-Design: Implements environment variable isolation and rate-limiting via middleware to protect API credentials

Use Cases: Leveraging Computational Semantics

WolframAlpha LLM MCP Server FAQ

Frequently Asked Questions

Q: How do I obtain a WolframAlpha API key?
A: Keys are provisioned through the official developer portal, requiring verified commercial or educational credentials for production usage.

Q: Can this server handle concurrent requests?
A: Yes, though performance scales with API rate limits. Consider implementing caching mechanisms for frequently accessed computations.

Q: What distinguishes it from raw Wolfram Alpha API use?
A: The MCP abstraction layer adds context preservation and structured output formatting, critical for LLM workflows that require maintainable knowledge graphs.

Content

WolframAlpha LLM MCP Server

A Model Context Protocol (MCP) server that provides access to WolframAlpha's LLM API. https://products.wolframalpha.com/llm-api/documentation

Features

Query WolframAlpha's LLM API with natural language questions
Answer complicated mathematical questions
Query facts about science, physics, history, geography, and more
Get structured responses optimized for LLM consumption
Support for simplified answers and detailed responses with sections

Available Tools

ask_llm: Ask WolframAlpha a question and get a structured llm-friendly response
get_simple_answer: Get a simplified answer
validate_key: Validate the WolframAlpha API key

Installation

git clone https://github.com/Garoth/wolframalpha-llm-mcp.git
npm install

Configuration

Get your WolframAlpha API key from developer.wolframalpha.com
Add it to your Cline MCP settings file inside VSCode's settings (ex. ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

{
  "mcpServers": {
    "wolframalpha": {
      "command": "node",
      "args": ["/path/to/wolframalpha-mcp-server/build/index.js"],
      "env": {
        "WOLFRAM_LLM_APP_ID": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": [
        "ask_llm",
        "get_simple_answer",
        "validate_key"
      ]
    }
  }
}

Development

Setting Up Tests

The tests use real API calls to ensure accurate responses. To run the tests:

Copy the example environment file:

cp .env.example .env
Edit .env and add your WolframAlpha API key:

WOLFRAM_LLM_APP_ID=your-api-key-here

Note: The .env file is gitignored to prevent committing sensitive information.

Run the tests:

npm test

Building

npm run build

License

MIT

Related MCP Servers & Clients

MCP Categories

Research And Data