Ax MCP

🚀 Axiomatic MCP Servers

MCP (Model Context Protocol) servers that provide AI assistants with access to the Axiomatic_AI Platform - a suite of advanced tools for scientific computing, document processing, and photonic circuit design.

🚀 Quick Start

System requirements

• Python
• uv

1. Get an API key

2. Configure your client

claude mcp add axiomatic-mcp --env AXIOMATIC_API_KEY=your-api-key-here -- uvx --from axiomatic-mcp all

{
  "mcpServers": {
    "axiomatic-mcp": {
      "command": "uvx",
      "args": ["--from", "axiomatic-mcp", "all"],
      "env": {
        "AXIOMATIC_API_KEY": "your-api-key-here"
      }
    }
  }
}

{
  "axiomatic-mcp": {
    "command": "uvx",
    "args": ["--from", "axiomatic-mcp", "all"],
    "env": {
      "AXIOMATIC_API_KEY": "your-api-key-here"
    }
  }
}

{
  "axiomatic-mcp": {
    "command": "uvx",
    "args": ["--from", "axiomatic-mcp", "all"],
    "env": {
      "AXIOMATIC_API_KEY": "your-api-key-here"
    }
  }
}

[mcp_servers.axiomatic-mcp]
command = "uvx"
args = ["--from", "axiomatic-mcp", "all"]

{
  "command": "uvx",
  "args": ["--from", "axiomatic-mcp", "all"],
  "env": {
    "AXIOMATIC_API_KEY": "your-api-key-here"
  }
}

⚠️ Important Note

This installs all tools under one server and may cause issues with some clients. If you experience problems, install individual servers instead.

✨ Features

Individual servers

You may find more information about each server and how to install them individually in their own READMEs.

• 🖌️ AxEquationExplorer: Compose equation of your interest based on information in the scientific paper.
• 📄 AxDocumentParser: Convert PDF documents to markdown with advanced OCR and layout understanding.
• 📝 AxDocumentAnnotator: Create intelligent annotations for PDF documents with contextual analysis, equation extraction, and parameter identification.
• ⚙️ AxModelFitter: Fit parametric models or digital twins to observational data using advanced statistical analysis and optimization algorithms.
• 🔬 AxPhotonicsPreview: Design photonic integrated circuits using natural language descriptions.
• 📊 AxPlotToData: Extract numerical data from plot images for analysis and reproduction.

📚 Documentation

Troubleshooting

Server not appearing in Cursor

1. Restart Cursor after updating MCP settings
2. Check the Output panel (View → Output → MCP) for errors
3. Verify the command path is correct

Multiple servers overwhelming the LLM

Install only the domain servers you need. Each server runs independently, so you can add/remove them as needed.

API connection errors

1. Verify your API key is set correctly
2. Check internet connection

Tools not appearing

If you experience any issues such as tools not appearing, it may be that you are using an old version and need to clear uv's cache to update it.

uv cache clean

Then restart your MCP client (e.g. restart Cursor). This clears the uv cache and forces fresh downloads of packages on the next run.

🤝 Contributing

We welcome contributions from the community! Here's how you can help:

Submitting Pull Requests

We love pull requests! If you'd like to contribute code:

1. Fork the repository
2. Create a new branch for your feature or fix
3. Make your changes and test them thoroughly
4. Submit a pull request with a clear description of your changes
5. Reference any related issues in your PR description

Reporting Bugs

Found a bug? Please help us fix it by creating a bug report. When reporting bugs:

• Use the bug report template to provide all necessary information
• Include steps to reproduce the issue
• Add relevant error messages and logs
• Specify your environment details (OS, Python version, etc.)

Requesting Features

Have an idea for a new feature? We'd love to hear it! Submit a feature request and:

• Describe the problem your feature would solve
• Explain your proposed solution
• Share any alternatives you've considered
• Provide specific use cases

Quick Links

• 🐛 Report a Bug
• 💡 Request a Feature
• 📋 View All Issues
• 💬 Discord Server

📞 Support

• Join our Discord Server
• Issues: GitHub Issues
• Email: developers@axiomatic-ai.com