MCP Wolfram Alpha Server

MCP Wolfram Alpha Server

The MCP server that uses Wolfram Alpha via API.

cnosuke

研究与数据
访问服务器

README

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)

推荐服务器

Crypto Price & Market Analysis MCP Server

Crypto Price & Market Analysis MCP Server

一个模型上下文协议 (MCP) 服务器,它使用 CoinCap API 提供全面的加密货币分析。该服务器通过一个易于使用的界面提供实时价格数据、市场分析和历史趋势。 (Alternative, slightly more formal and technical translation): 一个模型上下文协议 (MCP) 服务器,利用 CoinCap API 提供全面的加密货币分析服务。该服务器通过用户友好的界面,提供实时价格数据、市场分析以及历史趋势数据。

精选
TypeScript
MCP PubMed Search

MCP PubMed Search

用于搜索 PubMed 的服务器(PubMed 是一个免费的在线数据库,用户可以在其中搜索生物医学和生命科学文献)。 我是在 MCP 发布当天创建的,但当时正在度假。 我看到有人在您的数据库中发布了类似的服务器,但还是决定发布我的。

精选
Python
mixpanel

mixpanel

连接到您的 Mixpanel 数据。从 Mixpanel 分析查询事件、留存和漏斗数据。

精选
TypeScript
Sequential Thinking MCP Server

Sequential Thinking MCP Server

这个服务器通过将复杂问题分解为顺序步骤来促进结构化的问题解决,支持修订,并通过完整的 MCP 集成来实现多条解决方案路径。

精选
Python
Nefino MCP Server

Nefino MCP Server

为大型语言模型提供访问德国可再生能源项目新闻和信息的能力,允许按地点、主题(太阳能、风能、氢能)和日期范围进行筛选。

官方
Python
Vectorize

Vectorize

将 MCP 服务器向量化以实现高级检索、私有深度研究、Anything-to-Markdown 文件提取和文本分块。

官方
JavaScript
Mathematica Documentation MCP server

Mathematica Documentation MCP server

一个服务器,通过 FastMCP 提供对 Mathematica 文档的访问,使用户能够从 Wolfram Mathematica 检索函数文档和列出软件包符号。

本地
Python
kb-mcp-server

kb-mcp-server

一个 MCP 服务器,旨在实现便携性、本地化、简易性和便利性,以支持对 txtai “all in one” 嵌入数据库进行基于语义/图的检索。任何 tar.gz 格式的 txtai 嵌入数据库都可以被加载。

本地
Python
Research MCP Server

Research MCP Server

这个服务器用作 MCP 服务器,与 Notion 交互以检索和创建调查数据,并与 Claude Desktop Client 集成以进行和审查调查。

本地
Python
Cryo MCP Server

Cryo MCP Server

一个API服务器,实现了模型补全协议(MCP),用于Cryo区块链数据提取。它允许用户通过任何兼容MCP的客户端查询以太坊区块链数据。

本地
Python