Cleanuri URL Shortener MCP

The CleanURI URL Shortener MCP server turns a simple HTTP request into an instant, reliable link‑shortening service that can be called directly from any AI assistant or workflow engine. By wrapping the public CleanURI API behind a FastMCP interface, it eliminates the need for developers to manage third‑party SDKs or handle OAuth flows. Instead, a single tool call can transform any long URL into a clean, shareable short link that is ready for use in email campaigns, social media posts, or documentation.

At its core the server accepts a single string argument—the URL to shorten—and returns a JSON payload containing the shortened link, along with metadata such as the original address and request status. The implementation includes robust error handling: it validates input, checks HTTP response codes, and surfaces meaningful messages back to the client. This ensures that AI assistants can gracefully handle failures (e.g., invalid URLs or API rate limits) without crashing the overall workflow.

Key features include:

• FastMCP compatibility – the tool can be invoked via standard MCP transport mechanisms (stdio, HTTP, or Docker), making it agnostic to the host platform.
• Minimal dependencies – only and FastMCP are required, keeping the runtime footprint small for edge deployments.
• Extensible tool interface – developers can easily add custom parameters or integrate the server into larger chains of AI‑driven tasks.
• Docker support – a prebuilt image allows instant, containerized deployment without local Python setup.

Typical use cases span from automated content creation pipelines that need to embed short links into generated articles, to chatbot assistants that provide instant link shortening for users. In marketing automation, the server can be chained with sentiment analysis or A/B testing tools to dynamically generate and track campaign links. For developers building custom AI agents, the MCP tool can be added to the agent’s repertoire with a single configuration line, enabling on‑demand URL shortening without leaving the assistant environment.

Overall, this MCP server offers a lightweight, reliable bridge between AI assistants and an external URL shortening service. Its design prioritizes ease of integration, clear error reporting, and cross‑platform operability—making it a practical choice for any developer looking to enrich AI workflows with fast, dependable link management.