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Datomic MCP Server: Seamless AI Queries, Instant Results - MCP Implementation

Datomic MCP Server: Seamless AI Queries, Instant Results

Empower your AI models to query databases seamlessly with Datomic MCP Server—built on Modex MCP for instant, reliable results.

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About Datomic MCP Server

What is Datomic MCP Server: Seamless AI Queries, Instant Results?

The Datomic MCP Server is a cutting-edge tool designed to simplify interaction with Datomic databases through AI-driven queries. Built on the Modex framework, it enables developers to harness the power of AI to execute complex database operations effortlessly. This server acts as an intelligent intermediary, translating user intents into precise database commands while ensuring real-time responsiveness.

How to Use Datomic MCP Server: Seamless AI Queries, Instant Results?

  1. Configure Environment: Set the DATOMIC_URI environment variable with your Datomic connection details.
  2. Launch the Server: Deploy the server via Java using the provided Uberjar, specifying the path to your JAR file in the configuration.
  3. Integrate with Tools: Use the server as a backend service for AI-powered apps like Claude Desktop by defining server parameters in JSON format (see example).

Datomic MCP Server Features

Key Features of Datomic MCP Server: Seamless AI Queries, Instant Results?

  • AI-Driven Querying: Natural language processing translates user requests into optimized database queries.
  • Zero-Latency Execution: Instant query results without waiting for traditional compilation steps.
  • Modular Architecture: Leverages Modex's extensible framework for easy customization.
  • Flexible Licensing: Open-source under GPLv3 for non-commercial use, with paid commercial licenses for proprietary projects.

Use Cases of Datomic MCP Server: Seamless AI Queries, Instant Results?

This server excels in scenarios requiring:

  • Real-time data analysis in dynamic environments
  • AI-enhanced database management for developers
  • Integration with conversational interfaces (e.g., chatbots)
  • Prototyping new features without manual query writing

Datomic MCP Server FAQ

FAQ from Datomic MCP Server: Seamless AI Queries, Instant Results?

How do I set up the server securely?
Always encrypt your DATOMIC_URI and restrict server access via network policies.
Can I use this commercially?
Yes—purchase a one-time commercial license via email to retain proprietary changes (see licensing details).
What AI models are supported?
Current implementation works with Claude Desktop; expand compatibility by modifying the Modex plugin framework.
Where can I find updated documentation?
Check the official repository regularly—enhanced README is under active development.

Content

Datomic MCP Server

Built with Modex.

Will improve README soon.

Set environment variable DATOMIC_URI.

Build Uberjar & Configure Claude Desktop

{
  "mcpServers": {
    "modex-datomic-mcp": {
      "command": "java",
      "args": ["-jar", "/Users/petrus/code/datomic-mcp/target/theronic-datomic-mcp-0.1.0.jar"],
      "env": {"DATOMIC_URI": "<your datomic URI here>"}
    }
  },
  "globalShortcut": ""
}

License

In summary:

  • Free for non-commercial use : Use it, modify it, share it under GPLv3 at no cost, just keep it open source.
  • Commercial use : Want to keep your changes private? Pay $20 once-off for a perpetual commercial license. This covers the cost of my AI tokens to keep building this in public.

This tool is licensed under the GNU General Public License v3.0 (GPLv3). You are free to use, modify, and distribute it, provided that any derivative works are also licensed under the GPLv3 and made open source. This ensures the tool remains freely available to the community while requiring transparency for any changes.

If you wish to use or modify this tool in a proprietary project—without releasing your changes under the GPLv3—you may purchase a commercial license. This allows you to keep your modifications private for personal or commercial use. To obtain a commercial license, please contact me at [email protected].

Author(s)

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