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Emerge provides two MCP (Model Context Protocol) servers for different purposes. Connect your AI tools to search documentation, query user data, or both.

Two MCP Servers

Docs MCP Server

Search and query this documentation
  • Semantic documentation search
  • API reference lookup
  • Code example retrieval
  • Best for: Learning the API, troubleshooting

Query MCP Server

Query consented user data via AI tools
  • Search history, browsing, YouTube, ad interactions, receipts
  • Session-based credentials
  • Direct data access for AI agents
  • Best for: Building AI applications with user data
Both use the same Model Context Protocol and work with Claude, Cursor, VS Code, and Claude Code.

Quick setup

Add documentation search to your AI tool:
See Docs MCP Setup for all tools.

What you can do

Ask questions

“How do I query user search history?” — AI searches docs and returns the answer with code examples

Generate code

“Generate Python code to create a signed link” — AI finds SDK page and provides working implementation

Query user data

“Get search history for the last week” — AI calls the Query MCP tool and returns results

Debug issues

“Why is my webhook signature invalid?” — AI finds troubleshooting info and suggests fixes

How it works

One-shot prompt for app builders

Use this prompt in tools like Lovable, Cursor, or Claude Code after connecting MCP:

Contextual menu

Every page in these docs includes a contextual menu with one-click AI integrations. Look for the menu icon on any page to:
  • Copy as Markdown for pasting into AI chats
  • Open directly in Claude or ChatGPT
  • Copy the MCP server URL
Learn more in Contextual Menu.