Unofficial dubco-mcp-server
by GitMaxd
An unofficial Model Context Protocol (MCP) server for creating and managing Dub.co short links. This server enables AI assistants to create, update, and delete short links through the Dub.co API.
Last updated: N/A
What is Unofficial dubco-mcp-server?
This is an unofficial Model Context Protocol (MCP) server that allows AI assistants to interact with the Dub.co URL shortening service. It provides a standardized interface for creating, updating, and deleting short links using the Dub.co API.
How to use Unofficial dubco-mcp-server?
To use this server, you need to install it (via npm or Smithery), configure it with your Dub.co API key, and then integrate it with an MCP-compatible AI assistant. The AI assistant can then use the provided tools (create_link, update_link, delete_link) to manage Dub.co short links.
Key features of Unofficial dubco-mcp-server
Create custom short links with your Dub.co domains
Update existing short links
Delete short links
Seamless integration with AI assistants through the Model Context Protocol
Use cases of Unofficial dubco-mcp-server
Automated short link creation for marketing campaigns
Dynamic URL management for AI-powered content generation
Integration with AI assistants for easy link sharing
Programmatic URL shortening for various applications
FAQ from Unofficial dubco-mcp-server
What is Dub.co?
What is Dub.co?
Dub.co is a URL shortener service.
What is an MCP server?
What is an MCP server?
An MCP server provides a standardized interface for AI assistants to interact with external services.
How do I get a Dub.co API key?
How do I get a Dub.co API key?
You can get your API key from the Dub.co dashboard.
What AI assistants are compatible with this server?
What AI assistants are compatible with this server?
Any AI assistant that supports the Model Context Protocol (MCP) can be used with this server.
How do I contribute to this project?
How do I contribute to this project?
You can contribute by forking the repository, creating a feature branch, committing your code, and submitting a pull request.