About
The Dub.co MCP Server is an unofficial Model Context Protocol server that lets AI assistants create, update, and delete short links using the Dub.co API. It simplifies link management for developers and AI workflows.
Capabilities
The Dub.co MCP Server bridges the gap between AI assistants and the Dub.co link‑shortening platform, enabling developers to programmatically create, modify, and delete short URLs directly from an AI workflow. By exposing Dub.co’s RESTful API through the Model Context Protocol, the server allows Claude or other MCP‑compatible assistants to treat link management as a first‑class tool, eliminating the need for manual API calls or custom wrappers.
At its core, the server offers three straightforward operations: create_link, update_link, and delete_link. Each operation is wrapped in an MCP tool that accepts natural language prompts, translates them into authenticated HTTP requests to Dub.co, and returns a concise JSON response. This simplicity means developers can embed link‑shortening logic into larger conversational agents, such as a marketing chatbot that auto‑generates branded links for campaign URLs or a project management assistant that tracks link analytics in real time.
Key capabilities include support for custom Dub.co domains, allowing brands to maintain consistent URL aesthetics; the ability to update existing links—useful for redirecting traffic when URLs change; and secure deletion of unused or compromised links. The server’s design emphasizes reliability: it requires only a valid API key, which is passed via an environment variable, and runs on standard Node.js installations. Integration with IDEs like Cursor is also streamlined; developers can add the server as a command‑type MCP server and immediately access its tools within Cursor’s AI Composer or Agent modes.
Real‑world use cases abound. Marketing teams can ask an AI assistant to generate a short link for a new product launch, automatically attach UTM parameters, and then share the result in a Slack channel. Developers can embed link creation into deployment scripts that generate preview URLs for pull requests, ensuring every PR has a clean, trackable link. Additionally, analytics‑driven workflows can prompt the assistant to update link targets when landing pages are migrated, keeping all references up to date without manual intervention.
What sets this MCP server apart is its “unofficial” yet fully functional integration with Dub.co, combined with a lightweight Node.js implementation that requires no heavy dependencies. It delivers a plug‑and‑play experience for developers who want to leverage AI assistants as smart link managers, streamlining workflows and reducing boilerplate code across a variety of applications.
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