Shorten URLs and track click analytics programmatically through an MCP server. Built for AI agents that need to create trackable links and monitor engagement metrics.
io.github.amaterous/picoli-mcp
Local install
STDIO
No auth required
How models use it and what it is built for.
Shorten URLs and track click analytics programmatically through an MCP server. Built for AI agents that need to create trackable links and monitor engagement metrics.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Amaterous Picoli.
Paste any of these into Agent Studio after connecting Amaterous Picoli.
Common questions about connecting and running Amaterous Picoli.
What is picoli-mcp and what can it do?
picoli-mcp is an MCP server that integrates with picoli.site to enable URL shortening and click analytics. It allows AI agents to programmatically create shortened URLs and retrieve engagement metrics like click counts and referrer information.
How do I install and run picoli-mcp?
Install via npm with `npx picoli-mcp@1.0.1`. The server communicates over stdio, so you'll need to configure it in your MCP client to connect to the picoli.site service.
Do I need a picoli.site account to use this server?
Yes, you'll need credentials or an API key for picoli.site. Check the server documentation or environment variables for authentication setup details.
Can I create custom short URL aliases?
The server supports URL shortening through picoli.site. Whether custom aliases are supported depends on picoli.site's API capabilities—refer to the service documentation for alias customization options.
What analytics data can I retrieve?
You can retrieve click counts and referrer information for shortened URLs. The exact metrics available depend on what picoli.site exposes through its analytics API.
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