Use awesomelist.dev from your AI agent.
This whole index — 61.4k projects across 103 awesome-lists — is a remote MCP server. Install it once and your agent can search it and recommend the right repository, with curation context attached.
Install
Claude Code
One command in your terminal:
claude mcp add --transport http awesomelist https://awesomelist.dev/mcpClaude Desktop & claude.ai
Settings → Connectors → Add custom connector, then paste:
https://awesomelist.dev/mcpCursor
Add to ~/.cursor/mcp.json (or project .cursor/mcp.json):
{
"mcpServers": {
"awesomelist": { "url": "https://awesomelist.dev/mcp" }
}
}VS Code (Copilot)
Add to .vscode/mcp.json:
{
"servers": {
"awesomelist": { "type": "http", "url": "https://awesomelist.dev/mcp" }
}
}Any other MCP client
Streamable HTTP transport, no auth, no API key. Point it at:
https://awesomelist.dev/mcpTools your agent gets
search_projects
query, limit?
Hybrid semantic + keyword search across every indexed project.
get_awesome_list
slug, limit?
Everything inside one awesome-list (metadata + curated projects).
list_categories
—
All categories with list/project counts — a map of the index.
get_trending
window?, limit?
Awesome-lists gaining the most GitHub stars over 1d / 7d / 30d.
Endpoint: https://awesomelist.dev/mcp — JSON-RPC 2.0 over Streamable HTTP (POST), stateless, unauthenticated, read-only.