REST API & MCP

API Documentation

Everything you need to integrate Curyloop into your workflows. Authenticate with API keys, manage groups and sessions, and connect via MCP for AI-powered access.

Connect Curyloop to GitHub Copilot in VS Code for AI-powered content curation. Save references and documentation while coding with Copilot.

GitHub Copilot + Curyloop

GitHub Copilot supports MCP servers in VS Code, letting you curate content into Curyloop alongside your coding workflow.

Setup

Add to your .vscode/mcp.json:

json
{
  "mcpServers": {
    "curyloop": {
      "type": "streamable-http",
      "url": "https://curyloop.com/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Replace YOUR_API_KEY with your key from Settings > API Keys.

What You Can Do

With Curyloop connected to GitHub Copilot, you can:

  • Save references discovered during coding sessions
  • Build documentation libraries for your repositories
  • Research and curate testing and deployment resources
  • Search your knowledge base from within VS Code

Example Prompts

Testing Resources

Search for the best testing libraries and guides for my current
project stack, then save them to my "Testing Resources" session
in Curyloop with priority levels.

CI/CD Documentation

Find the best GitHub Actions tutorials and workflow examples for
a Next.js + Supabase project. Save them to my "DevOps" session
in Curyloop with appropriate tags.

Open Source Discovery

Find the top trending open source projects related to my project's
tech stack this month. Save the most interesting ones to my
"Open Source" session in Curyloop.

Documentation Curation

Find the best API documentation examples and style guides.
Save them to my "API Design" session so our team can reference
them when building new endpoints.

Available MCP Tools

ToolDescription
list_groupsList all your Curyloop groups
list_sessionsList sessions in a group
list_itemsList items in a session
add_itemAdd a new item to a session
search_itemsSearch across all your items

Tips

  • Works in Copilot Chat within VS Code
  • Combine with Copilot's code understanding for context-aware research
  • Use @workspace to let Copilot analyze your project before researching
  • Pairs well with Copilot's code review suggestions

For general MCP setup details, see MCP Setup. For more AI agent examples, see AI Agents.