AI-Assisted Development

Use AI coding tools with Pipecat documentation and source code.

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

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.

Claude Code

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

Codex

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

Cursor

Or manually add to your Cursor MCP config:

{
  "mcpServers": {
    "pipecat-docs": {
      "url": "https://daily-docs.mcp.kapa.ai"
    }
  }
}

VS Code

Or manually add to your VS Code MCP config (.vscode/mcp.json):

{
  "servers": {
    "pipecat-docs": {
      "url": "https://daily-docs.mcp.kapa.ai"
    }
  }
}

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.

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.

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.

• https://docs.pipecat.ai/llms.txt — structured index of all pages
• https://docs.pipecat.ai/llms-full.txt — full documentation content in a single file