Cover image
Try Now
2025-04-06

通过API使用Wolfram Alpha的MCP服务器。

3 years

Works with Finder

1

Github Watches

0

Github Forks

1

Github Stars

MCP Wolfram Alpha Server

MCP Wolfram Alpha Server is a Go-based MCP server that provides access to the Wolfram Alpha API. It allows MCP clients (e.g., Claude Desktop) to execute computational queries, access scientific data, and retrieve structured knowledge.

Purpose and Benefits of this MCP Server

Purpose

This MCP server delegates numerical computation tasks that large language models (LLMs) struggle with to the high-precision computation engine Wolfram Alpha.

Understanding LLM Limitations

LLMs demonstrate remarkable capabilities in natural language processing, text generation, and translation, but their architecture is not optimized for precise numerical calculations or formula processing.

  • Calculation Accuracy: Beyond basic mental arithmetic (e.g., 2+3), LLMs may make calculation errors, especially with multi-digit numbers or complex formulas (calculus, matrix calculations, etc.).
  • Token Consumption: When LLMs attempt complex calculations internally, they require many steps and inferences, potentially consuming valuable tokens (computational resources) inefficiently. In some cases, they may reach token limits before arriving at the correct answer.

Role and Benefits of this MCP Server

This MCP server addresses these challenges:

  • High-Precision Calculations: When an LLM receives a task requiring calculation, it sends the computational part as a request to this MCP server. The server forwards the request to the Wolfram Alpha API and returns accurate calculation results to the LLM, providing users with reliable computational outputs.
  • Reduced LLM Workload: LLMs no longer need to perform calculations themselves, allowing them to focus on their strengths in language processing and contextual understanding.
  • Optimized Token Usage: The server prevents inefficient token consumption that would occur if LLMs attempted uncertain calculations internally. By delegating computational tasks to an external API (Wolfram Alpha via this MCP server), token usage is limited to API request and response exchanges, enabling more efficient processing overall.

Recommended Use Cases

LLMs are encouraged to actively utilize this MCP server when they need to perform calculations like:

  • Arithmetic operations (especially those beyond simple mental arithmetic, such as those with many digits or decimals)
  • Solving algebraic equations
  • Differentiation and integration
  • Linear algebra (matrix calculations, etc.)
  • Statistical calculations
  • Calculations involving specific formulas in physics or chemistry
  • Unit and currency conversions (especially when current rates are needed)

However, there's no need to query external APIs for extremely simple calculations like 1+1 that are obviously within the LLM's capabilities. For calculations that LLMs can handle reliably, they should proceed directly.

In conclusion, this MCP server is an essential support tool that helps LLMs overcome challenges in calculation accuracy and token efficiency, enabling more reliable and efficient responses. When calculations are needed (except for very simple ones), actively use this MCP server API to avoid unnecessary token consumption.

Features

  • MCP Compliance: Implements a JSON-RPC based interface according to the MCP specification
  • Wolfram Alpha Integration: Provides access to mathematical computation, scientific data, and knowledge queries
  • Configurable Options: Supports unit systems, regional settings, and language options

Requirements

Configuration

The server is configured via a YAML file (default: config.yml):

log: 'path/to/mcp-wolfram-alpha.log' # Log file path (empty for no logging)
debug: false # Enable debug mode

wolfram:
  app_id: 'YOUR_WOLFRAM_ALPHA_APP_ID' # Required: Wolfram Alpha API ID
  timeout: 30 # API timeout in seconds
  use_bearer: false # Use Bearer token authentication
  default_max_chars: 2000 # Default maximum characters in responses

You can override configurations using environment variables:

  • LOG_PATH: Path to log file
  • DEBUG: Enable debug mode (true/false)
  • WOLFRAM_APP_ID: Wolfram Alpha API ID
  • WOLFRAM_TIMEOUT: Timeout in seconds
  • WOLFRAM_USE_BEARER: Use Bearer authentication (true/false)
  • WOLFRAM_DEFAULT_MAX_CHARS: Default maximum character count

Building and Running

# Download dependencies
make deps

# Build the server
make build

# Run the server
./bin/mcp-wolfram-alpha server --config config.yml

MCP Tools

The following MCP tools are implemented:

  • wolfram_query: Execute Wolfram Alpha queries with options for customization

Tool Arguments

The wolfram_query tool accepts the following arguments:

{
  "query": "integrate x^2",
  "max_chars": 2000,
  "units": "metric",
  "country_code": "JP",
  "language_code": "en",
  "show_steps": true
}
  • query (required): The Wolfram Alpha query to execute
  • max_chars: Maximum characters in response (default: 2000)
  • units: Unit system to use (metric or nonmetric)
  • country_code: Country code for localization (e.g., 'JP')
  • language_code: Language code for localization (e.g., 'ja')
  • show_steps: Request step-by-step solution for math problems (boolean)

Using with Claude Desktop

To integrate with Claude Desktop, edit your claude_desktop_config.json file:

{
  "mcpServers": {
    "wolfram-alpha": {
      "command": "/path/to/bin/mcp-wolfram-alpha",
      "args": ["server", "--config", "/path/to/config.yml"],
      "env": {
        "LOG_PATH": "/path/to/logs/mcp-wolfram.log",
        "WOLFRAM_APP_ID": "YOUR_WOLFRAM_ALPHA_APP_ID"
      }
    }
  }
}

Example Usage

With Claude Desktop properly configured, you can ask Claude questions like:

  • "What is the derivative of x^3?"
  • "Calculate the distance from Earth to Mars"
  • "What is the atomic weight of gold?"
  • "Convert 100 kilometers to miles"
  • "Solve the equation x^2 + 3x - 4 = 0"

Claude will automatically use the Wolfram Alpha API through this MCP server to compute answers.

Error Handling

The server provides informative error messages for various failure scenarios:

  • Authentication errors (invalid API ID)
  • Invalid input errors
  • Network connection issues
  • Timeout errors
  • Server-side Wolfram Alpha errors

All errors are logged with detailed information to help with troubleshooting.

License

This project is licensed under the MIT License.

Author

cnosuke (github.com/cnosuke)

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • Lists Tailwind CSS classes in monospaced font

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • tomoyoshi hirata
  • Sony α7IIIマニュアルアシスタント

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • HiveNexus
  • 一个适用于中小型团队的AI聊天机器人,支持DeepSeek,Open AI,Claude和Gemini等车型。 专为中小团队设计的ai聊天应用,支持deepSeek,打开ai,claude,双子座等模型。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • JackKuo666
  • 🔍使AI助手可以通过简单的MCP接口搜索和访问PYPI软件包信息。

    Reviews

    2 (1)
    Avatar
    user_7LPzsIep
    2025-04-17

    As a dedicated user of the mcp application, I must say that the mcp-wolfram-alpha by cnosuke is a fantastic integration. It seamlessly enhances the power of Wolfram Alpha, making complex calculations and data analysis a breeze. The responsiveness and accuracy of this tool are remarkable, providing valuable insights efficiently. Highly recommend checking it out on GitHub!