Splitifi Intelligence
Outcome predictions and judge profiles from 2,741 ML models trained on 30.3M court records.
What is Splitifi Intelligence?
Splitifi Intelligence is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to outcome predictions and judge profiles from 2,741 ml models trained on 30.3m court records.
Outcome predictions and judge profiles from 2,741 ML models trained on 30.3M court records.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Outcome predictions and judge profiles from 2,741 ML models
Use Cases
Maintainer
Works with
Installation
NPM
npx -y splitifi-mcpManual Installation
npx -y splitifi-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Splitifi Intelligence
What is Splitifi Intelligence?
Splitifi Intelligence is a Model Context Protocol (MCP) server that outcome predictions and judge profiles from 2,741 ml models trained on 30.3m court records. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Splitifi Intelligence?
Install via npm with the command: npx -y splitifi-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Splitifi Intelligence?
Splitifi Intelligence works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Splitifi Intelligence free to use?
Yes, Splitifi Intelligence is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Splitifi Intelligence in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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