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Smart Documentation Features

Chift’s documentation is optimized for AI consumption, allowing you to get more accurate responses when using our docs as context for LLMs and AI tools.

AI-Optimized Formats

Industry-standard formats that help LLMs understand and index our documentation efficiently

Intelligent Search

Vector-based search through our MCP server for contextual, semantic results

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Available AI Features

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LLM-Optimized Files

You can use ready-to-use formats designed for AI tools:
  • llms.txt — Industry standard for efficient LLM indexing (like a sitemap for AI)
  • llms-full.txt — Complete documentation in a single file for AI context
  • View page markdown and full text by adding .md at the end of every URL.

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MCP Integration

The SearchChift tool is available via our local MCP server:
  • Search documentation using a vector database approach
  • Find results with semantic similarity matching
  • Integrate directly with your coding editors

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How to Use

1

Choose Your Method

  • Direct Files - Use llms.txt or llms-full.txt for AI context
  • Interactive Search - Use built-in AI features on documentation pages
  • MCP Integration - Connect via SearchChift tool for coding workflows
2

Integrate with Your Tools

Connect your preferred AI tools (Claude, ChatGPT, Cursor) to access Chift documentation intelligently.

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SearchChift MCP Tool

Our local MCP server includes the SearchChift tool that allows your AI to search through our documentation like a vector database. Pass a query and retrieve relevant documentation parts that match semantically. 
// Search documentation via MCP
const result = await mcp.call_tool('SearchChift', {
  query: 'How to authenticate webhook requests?'
});
The SearchChift tool helps your coding editor integrate Chift faster by providing contextual documentation directly in your development environment.

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Quick Access

Start with MCP

Learn how to set up the MCP server and use SearchChift for documentation search
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