ai-mlanalytics-data

Axiomatic AI

by axiomatic-ai

Extract plot data from images with Axiomatic AI. Use advanced web plot digitizer features for scientific imaging and ana

Provides six specialized servers for scientific and engineering workflows including photonic circuit design with gdsfactory integration, document processing with advanced OCR, plot data extraction from images, equation composition and analysis, PDF annotation with contextual analysis, and model fitting with optimization capabilities.

github stars

18

6 specialized scientific serversAxiomatic AI Platform integrationRequires API key signup

best for

  • / Engineers working on photonic circuit design
  • / Researchers processing scientific documents and papers
  • / Scientists extracting data from published plots and figures
  • / Academics analyzing mathematical models and equations

capabilities

  • / Design photonic circuits with gdsfactory integration
  • / Extract text from documents using advanced OCR
  • / Extract data points from plot images
  • / Compose and analyze mathematical equations
  • / Annotate PDFs with contextual analysis
  • / Fit mathematical models with optimization

what it does

Provides six specialized servers for scientific workflows including photonic circuit design with gdsfactory, OCR document processing, plot data extraction, equation analysis, PDF annotation, and model fitting.

about

Axiomatic AI is a community-built MCP server published by axiomatic-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Extract plot data from images with Axiomatic AI. Use advanced web plot digitizer features for scientific imaging and ana It is categorized under ai ml, analytics data.

how to install

You can install Axiomatic AI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Axiomatic AI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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

1. Check system requirements

  • Python
  • uv
  • install extra packages (optional)
    • If you wish to use the AxPhotonicsPreview, you will need to install extra dependencies before continuing. After installing uv, run uv tool install "axiomatic-mcp[pic]".

2. Install your favourite client

Cursor installation

3. Get an API key

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You will receive an API key by email shortly after filling the form. Check your spam folder if it doesn't arrive.

4. Install Axiomatic Operators (all except AxPhotonicsPreview)

<details> <summary><strong>⚡ Claude Code</strong></summary>
claude mcp add axiomatic-mcp --env AXIOMATIC_API_KEY=your-api-key-here -- uvx --from axiomatic-mcp all
</details> <details> <summary><strong>🔷 Cursor</strong></summary>

Install MCP Server

</details> <details> <summary><strong>🤖 Claude Desktop</strong></summary>
  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
</details> <details> <summary><strong>🔮 Gemini CLI</strong></summary>

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"
    }
  }
}
</details> <details> <summary><strong>🌬️ Windsurf</strong></summary>

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"
    }
  }
}
</details> <details> <summary><strong>🧪 LM Studio</strong></summary>

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"
}
</details> <details> <summary><strong>💻 Codex</strong></summary>

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

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

For more information, see the Codex MCP documentation

</details> <details> <summary><strong>🌊 Other MCP Clients</strong></summary>

Use this server configuration:

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

Note: This installs all tools except for AxPhotonicsPreview under one server. If you experience other issues, try individual servers instead.

Reporting Bugs

Found a bug? Please help us fix it by creating a bug report.

Connect on Discord

Join our Discord to engage with other engineers and scientists using Axiomatic Operators. Ask for help, discuss bugs and features, and become a part of the Axiomatic community!

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Troubleshooting

Cannot install in Conda environment

It's not recommended to install axiomatic operators inside a conda environment. uv handles seperate python environments so it is safe to run "globally" without affecting your existing Python environments

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

The "Add to cursor" button does not work

We have seen reports of the cursor window not opening correctly. If this happens you may manually add to cursor by:

  1. Open cursor
  2. Go to "Settings" > "Cursor Settings" > "MCP & Integration"
  3. Click "New MCP Server"
  4. Add the following configuration:
{
  "mcpServers": {
    "axiomatic-mcp": {
      "command": "uvx --from axiomatic-mcp all",
      "env": {
        "AXIOMATIC_API_KEY": "YOUR API KEY"
      },
      "args": []
    }
  }
}

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.

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.

🔬 AxPhotonicsPreview

Design photonic integrated circuits using natural language descriptions. Additional requirements are needed, please refer to Check system requirements

📊 AxPlotToData

Extract numerical data from plot images for analysis and reproduction.

⚙️ AxModelFitter

Fit parametric models or digital twins to observational data using advanced statistical analysis and optimization algorithms.

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

Support

FAQ

What is the Axiomatic AI MCP server?
Axiomatic AI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Axiomatic AI?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Axiomatic AI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Axiomatic AI against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Axiomatic AI is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Axiomatic AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Axiomatic AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Axiomatic AI surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Axiomatic AI has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Axiomatic AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Axiomatic AI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Axiomatic AI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.