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Pipecat offers several ways to give AI coding tools access to documentation and source code context, helping you build voice and multimodal applications faster.

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MCP Server

The Pipecat docs MCP server lets AI coding tools search across Pipecat documentation directly. This gives your AI assistant up-to-date knowledge about Pipecat APIs, services, and patterns.

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Claude Code

claude mcp add --transport http pipecat-docs https://daily-docs.mcp.kapa.ai

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Codex

codex --mcp-config '{"pipecat-docs":{"url":"https://daily-docs.mcp.kapa.ai"}}'

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Cursor

Add Pipecat MCP to Cursor Or manually add to your Cursor MCP config: 
{
  "mcpServers": {
    "pipecat-docs": {
      "url": "https://daily-docs.mcp.kapa.ai"
    }
  }
}

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VS Code

Add Pipecat MCP to VS Code Or manually add to your VS Code MCP config (.vscode/mcp.json): 
{
  "servers": {
    "pipecat-docs": {
      "url": "https://daily-docs.mcp.kapa.ai"
    }
  }
}

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CLAUDE.md

The Pipecat repository includes a CLAUDE.md file that provides Claude Code with architecture guidance, coding conventions, and development patterns specific to the Pipecat codebase. When you work in a cloned copy of the Pipecat repo, Claude Code automatically reads this file for context.

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Markdown docs

Every page on this docs site has a Copy page button (in the top-right area) that copies the page content as markdown. This is useful for pasting into any AI chat or coding tool to provide context about a specific topic.

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llms.txt

Pipecat docs support the llms.txt standard, which provides a machine-readable index of documentation content. This is useful for tools that can ingest documentation in bulk.