Copus MCP Server

An MCP (Model Context Protocol) server that allows AI assistants to search and retrieve human-curated content recommendations from Copus.

What is Copus?

Copus is a human-curated content discovery platform — "The Internet Treasure Map". Unlike SEO-driven search results, Copus surfaces recommendations from real people who explain why content is valuable.

Each curation includes:

• Curator's personal note — Why they recommend this
• Curator credentials — Why they're qualified to recommend this
• Original source URL — The actual content being recommended
• AI-enhanced metadata — Key takeaways, target audience, problem solved
• Engagement metrics — Views, saves, comments from the community

What This MCP Server Enables

This server gives AI assistants access to Copus's curated content database. Instead of generic search results, your AI can find:

• Tools and resources vetted by domain experts
• Articles recommended by practitioners in the field
• Hidden gems that real people found valuable enough to share

Compatible AI Platforms

This MCP server works with any AI platform that supports the Model Context Protocol:

• Claude Desktop (Anthropic)
• Claude Code (Anthropic)
• Cursor (AI code editor)
• Cline (VS Code extension)
• Continue (VS Code/JetBrains extension)
• Zed (Code editor)
• Any other MCP-compatible AI platform

Installation

Quick Start (npx)

No installation required — run directly with npx:

npx copus-mcp-server

Global Installation

npm install -g copus-mcp-server

Then run:

copus-mcp-server

Local Installation

npm install copus-mcp-server

Configuration

Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "copus": {
      "command": "npx",
      "args": ["copus-mcp-server"]
    }
  }
}

Or if installed globally:

{
  "mcpServers": {
    "copus": {
      "command": "copus-mcp-server"
    }
  }
}

Claude Code

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "copus": {
      "command": "npx",
      "args": ["copus-mcp-server"]
    }
  }
}

Cursor

Add to your Cursor MCP configuration (.cursor/mcp.json in your project or global settings):

{
  "mcpServers": {
    "copus": {
      "command": "npx",
      "args": ["copus-mcp-server"]
    }
  }
}

Cline (VS Code Extension)

Add to Cline's MCP settings in VS Code:

1. Open VS Code Settings
2. Search for "Cline MCP"
3. Add the server configuration:

{
  "copus": {
    "command": "npx",
    "args": ["copus-mcp-server"]
  }
}

Continue (VS Code/JetBrains)

Add to your Continue configuration (~/.continue/config.json):

{
  "mcpServers": [
    {
      "name": "copus",
      "command": "npx",
      "args": ["copus-mcp-server"]
    }
  ]
}

Available Tools

search_curations

Search human-curated content recommendations on Copus.

Parameters:

• query (string, required): Search keywords
• limit (number, optional): Maximum results (default: 10, max: 50)

Returns: Array of curations with:

• Title and description
• Curator name and profile
• Original source URL
• Category and keywords
• Engagement metrics (views, saves)

get_curation

Get detailed information about a specific curation.

Parameters:

• id (string, required): Curation ID (UUID from search results)

Returns: Full curation details including:

• Curator's personal recommendation note
• Curator credentials
• Key takeaways
• Target audience
• What problem this content solves
• Full engagement metrics

Example Use Cases

Once configured, you can ask your AI assistant things like:

Learning Resources

"I want to learn Python, what resourc

... View full README on GitHub