Model Context Protocol (MCP) Documentation and Testing

This page allows you to test the MCP endpoints of janisheck.com and understand how to integrate with them. The MCP integration enables AI assistants like Claude to directly access blog content and search functionality.

Note: The primary MCP endpoint is now /mcp, which is implemented as a Netlify Function for improved performance and reliability. Legacy endpoints are still available but are being phased out.

Endpoints Overview

Primary MCP Endpoint (/mcp)
This is the recommended endpoint for all MCP integrations. It's implemented as a Netlify Function and provides the most up-to-date functionality.
GET Result:
Results will appear here...
POST Result (resources/list):
Results will appear here...
POST Result (tools/list):
Results will appear here...

Legacy Endpoints

The following endpoints are maintained for backward compatibility but may be deprecated in the future. New integrations should use the primary endpoint above.

Legacy MCP API (/api/mcp)
Original Next.js API route implementation of the MCP server.
GET Result:
Results will appear here...
POST Result (resources/list):
Results will appear here...
POST Result (tools/list):
Results will appear here...
Legacy Debug MCP API (/api/mcp-debug)
Debug version of the MCP API with additional information for troubleshooting.
GET Result:
Results will appear here...
Legacy Static MCP API (/api/mcp-static)
Static implementation of the MCP API with pre-defined responses.
GET Result:
Results will appear here...
POST Result (resources/list):
Results will appear here...
POST Result (tools/list):
Results will appear here...

Integration Guide

To connect an AI assistant to this MCP server:

  1. Add the primary MCP endpoint URL: https://www.janisheck.com/mcp
  2. Name the server (e.g., "JanisheckCom")
  3. Enable the integration in your AI assistant conversation
  4. Use commands like "Search for blog posts about AI on janisheck.com"

For more details, visit the MCP documentation page.