Mcp Wolfram Alpha

What is MCP-wolfram-alpha?

MCP-wolfram-alpha is a public repository created by the user SecretiveShell on GitHub. This project utilizes the capabilities of Wolfram Alpha, a powerful computational knowledge engine, to provide users with various functionalities that can be integrated into their applications or used for educational purposes. The repository aims to make complex computations and data analysis accessible to both developers and researchers.

Features of MCP-wolfram-alpha

• Integration with Wolfram Alpha: The repository allows users to access Wolfram Alpha's extensive database and computational capabilities directly through their applications.
• User-Friendly Interface: Designed with usability in mind, MCP-wolfram-alpha provides a straightforward interface for developers to implement.
• Open Source: Being a public repository, it encourages collaboration and contributions from the community, allowing for continuous improvement and feature enhancements.
• Documentation and Support: Comprehensive documentation is available to help users understand how to utilize the repository effectively, along with community support for troubleshooting and feature requests.

How to Use MCP-wolfram-alpha

1. Clone the Repository: Start by cloning the MCP-wolfram-alpha repository to your local machine using Git.

   git clone https://github.com/SecretiveShell/MCP-wolfram-alpha.git
   

2. Install Dependencies: Navigate to the cloned directory and install any necessary dependencies as outlined in the documentation.

3. API Key Setup: Obtain an API key from Wolfram Alpha and configure it within the project to enable access to its services.

4. Implement Features: Utilize the provided functions and methods to integrate Wolfram Alpha's capabilities into your application. Refer to the documentation for examples and best practices.

5. Contribute: If you have suggestions or improvements, consider contributing to the repository by submitting a pull request or opening an issue for discussion.

Frequently Asked Questions

What programming languages does MCP-wolfram-alpha support?

MCP-wolfram-alpha is primarily designed for use with languages that can make HTTP requests, such as Python, JavaScript, and others.

Is there a cost associated with using Wolfram Alpha through this repository?

While the repository itself is open source, using the Wolfram Alpha API may require a subscription or payment depending on the usage level. Check the Wolfram Alpha pricing page for details.

Can I contribute to the MCP-wolfram-alpha project?

Absolutely! Contributions are welcome. You can report issues, suggest features, or submit code improvements through pull requests on GitHub.

Where can I find the documentation for MCP-wolfram-alpha?

Documentation is available within the repository itself, typically in a README.md file or a dedicated docs directory. You can also check the GitHub Wiki for additional resources.

How can I support the development of MCP-wolfram-alpha?

You can support the project by starring the repository on GitHub, contributing code, or sponsoring the developer through GitHub Sponsors or other platforms like Ko-fi.

MCP-wolfram-alpha

A MCP server to connect to wolfram alpha API.

<a href="https://glama.ai/mcp/servers/q5fud9cttp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/q5fud9cttp/badge" /> </a>

Components

Prompts

This is analogous to the !wa bang in duckduckgo search.

def wa(query: str) -> f"Use wolfram alpha to answer the following question: {query}"

Tools

Query Wolfram Alpha api.

def query_wolfram_alpha(query: str) -> str

Configuration

You must set the WOLFRAM_API_KEY environment variable. Get an api ket from Wolfram Alpha.

This was tested with the full results API, but it might not be required.

{
    "mcpServers": {
        "MCP-wolfram-alpha": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\Users\\root\\Documents\\MCP-wolfram-alpha",
                "run",
                "MCP-wolfram-alpha"
            ],
            "env": {
                "WOLFRAM_API_KEY": "your-app-id"
            }
        }
    }
}

Development

Debugging

Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-inspector.

Create a config.json file in the same style as claude desktop.

{
    "mcpServers": {
        "MCP-wolfram-alpha": {
            "command": "uv",
            "args": [
                "--directory",
                "/full/path/to/MCP-wolfram-alpha",
                "run",
                "MCP-wolfram-alpha"
            ],
            "env": {
                "WOLFRAM_API_KEY": "your-app-id"
            }
        }
    }
}

Then run:

npx @wong2/mcp-cli -c .\config.json