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Modular MCP servers for Axiomatic_AI

Project description

Axiomatic MCP Servers

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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.

🚀 Quickstart

System requirements

  • Python
  • uv

1. Get an API key

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2. Configure your client

⚡ Claude Code
claude mcp add axiomatic-mcp --env AXIOMATIC_API_KEY=your-api-key-here -- uvx --from axiomatic-mcp all
🔷 Cursor

Install MCP Server

🤖 Claude Desktop
  1. Open Claude Desktop settings → Developer → Edit MCP config
  2. Add this configuration:
{
  "mcpServers": {
    "axiomatic-mcp": {
      "command": "uvx",
      "args": ["--from", "axiomatic-mcp", "all"],
      "env": {
        "AXIOMATIC_API_KEY": "your-api-key-here"
      }
    }
  }
}
  1. Restart Claude Desktop
🔮 Gemini CLI

Follow the MCP install guide and use the standard configuration above.
See the official instructions here: Gemini CLI MCP Server Guide

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

Follow the Windsurf MCP documentation.
Use the standard configuration above.

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

Click the button to install:

Install MCP Server

Note: After installing via the button, open LM Studio MCP settings and add:

"env": {
  "AXIOMATIC_API_KEY": "your-api-key-here"
}
💻 Codex

Create or edit the configuration file ~/.codex/config.toml and add:

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

For more information, see the Codex MCP documentation

🌊 Other MCP Clients

Use this server configuration:

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

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

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.

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

Support

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