AI. Query. Visualize. Extend. A powerful Clojure-based MCP server built for querying DataScript and integrating with AI workflows.

• Datascript MCP Server + Visualization MCP Server

Run with Clojure CLI:

clojure -X:mcp

Or from Emacs REPL:

(mcp-server)

Use the following command to verify that the server is up and responding to JSON-RPC:

echo '{"jsonrpc": "2.0", "id": 1, "method": "initialize", "params": {"protocolVersion": "2024-11-05", "capabilities": {}, "clientInfo": {"name": "test", "version": "1.0"}}}' \
| /usr/local/bin/clojure -M -m datascript-mcp.core

Expected response:

Datascript MCP Server running on STDIO transport.
{"jsonrpc":"2.0","method":"notifications/tools/list_changed"}
...
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2024-11-05","capabilities":{"logging":{},"tools":{"listChanged":true}},"serverInfo":{"name":"datascript-server","version":"0.1.0"}}}

Example client setup for launching the server from Claude Desktop:

{
  "datascript-mcp": {
    "command": "/bin/bash",
    "args": [
      "-c",
      "cd /Users/clojure/Desktop/datascript-mcp-server && /usr/local/bin/clojure -M -m datascript-mcp.core"
    ]
  }
}

• Tools

1. Import and query any DataScript dataset 👉 load-db, It's use datascript transit
2. Generate and insert AI-created data on the fly 👉 add_data
3. Connect to Datomic for hybrid querying
4. Visualize relationship graphs and entity networks 👉 Visualization MCP Server
5. Support filesystem help 👉 filesystem-mcp-server, clojure -X :mcp-filesystem
6. Support Datahike's MCP

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

Built with Clojure. Powered by DataScript. Inspired by the future of intelligent querying. In the Source we trust.