AI Integrations

MeetStream provides two ways to bring its documentation and API directly into your AI workflow: a Claude Skill that pre-loads Claude with deep MeetStream knowledge and an MCP Server for real-time doc search inside your coding tools.

View as Markdown

Every page in these docs also has quick-access buttons below each heading —Open in Claude, Open in ChatGPT, and Connect to Cursor so you can jump straight into prompting the LLM based on that page’s content.

Claude Skill

The MeetStream Claude Skill is a pre-packaged knowledge file that teaches Claude everything about the MeetStream API such as authentication, bot lifecycle, webhooks, live transcription, WebSocket control, and Google Calendar integration without needing to search every time.

Meetstream Claude Skill

Click this card to download our Claude skill

What’s included

  • Full bot lifecycle walkthrough
  • All callback event types and payload formats
  • Live transcription and audio streaming setup
  • WebSocket bot control commands
  • Google Calendar auto-scheduling integration
  • Data retention configuration
  • Ready-to-use curl examples for common workflows

Installation

  1. Download the ZIP file above and unzip it — you’ll get a meetstream-skill/ folder containing SKILL.md and references/api-quickstart.md
  2. Open Claude.ai → Profile → Settings → Capabilities
  3. Click Upload Skill and select the meetstream-skill/ folder (or the SKILL.md file directly)
  4. Enable the skill — Claude will now apply MeetStream context automatically when relevant

The skill pairs with the MCP server for the most comprehensive experience: the skill handles common patterns and context, while the MCP server handles live doc lookups for edge cases.

MCP Server

The MeetStream MCP (Model Context Protocol) server lets AI tools like Cursor, VS Code, Claude Code, and Claude.ai query our live documentation on demand.

MCP Server URL:

https://docs.meetstream.ai/_mcp/server

Setup Instructions

  1. Open Cursor Settings → Features → MCP Servers
  2. Click Add new MCP server
  3. Set Name to meetstream-docs
  4. Set Type to SSE
  5. Set URL to https://docs.meetstream.ai/_mcp/server
  6. Click Save and restart Cursor

Once connected, your AI assistant can search and reference MeetStream documentation in real time during your sessions.

For the best developer experience, use both together:

ToolPurpose
MCP ServerReal-time doc search in Cursor, VS Code, Claude Code
Claude SkillPre-loaded MeetStream context in Claude.ai chat

With both enabled, LLMs can answer questions about any MeetStream endpoint, generate working API calls, debug webhook payloads, and help architect integrations all grounded in accurate, up-to-date documentation.