Looking for the Query API MCP server? This page covers the documentation MCP server. For AI agent access to the Query API (data retrieval), see Query API MCP Setup.
MCP Servers
Emerge provides two MCP servers:| Server | Purpose | URL |
|---|---|---|
| Documentation | Search and query these docs | https://docs.emergedata.ai/mcp |
| Query API | Retrieve user data | https://mcp.emergedata.ai/mcp |
Documentation MCP Server URL
http)
Setup by tool
- Claude Code
- Claude Desktop
- Cursor
- VS Code
- Codex CLI
- Windsurf
Verifying the connection
After setup, test the connection by asking your AI tool:“Search the Emerge documentation for how to handle callbacks”The AI should:
- Query the MCP server
- Find the callbacks documentation
- Return a detailed answer with code examples
Troubleshooting
AI doesn't use the MCP server
AI doesn't use the MCP server
Some AI tools require explicit activation:
- Restart the tool after adding configuration
- Check that the config file is in the correct location
- Verify the URL is exactly
https://docs.emergedata.ai/mcp - Verify transport is
http(notsse)
Connection timeout
Connection timeout
The MCP server should respond within seconds. If timeouts occur:
- Check your internet connection
- Try accessing the URL in a browser
- Contact support if the issue persists
Outdated responses
Outdated responses
The MCP server reflects the current live documentation. If responses seem outdated:
- The AI may be using cached context
- Start a new conversation
- Explicitly ask it to search the docs again
What the AI can access
The MCP server provides access to:All guide pages (Link API, Query API, etc.)
API reference documentation
Code examples in TypeScript and Python
Troubleshooting and best practices
- Access your API credentials
- Make API calls on your behalf
- See your application’s data
Next steps
Contextual Menu
One-click AI integrations on every page
Examples
See AI workflow examples