Clever Cloud Documentation MCP Server

The Clever Cloud Documentation MCP server is a lightweight, ready‑to‑run service that exposes the full public documentation of Clever Cloud to AI assistants via the Model Context Protocol (MCP). By turning static markdown and API reference pages into a structured MCP resource, it allows conversational agents such as Claude to query, retrieve, and even manipulate documentation content in real time. This solves the common pain point of AI assistants struggling to locate accurate, up‑to‑date technical information without manual web searches or hardcoded knowledge bases.

At its core, the server is built on FastMCP, a minimal MCP framework that simplifies deployment and testing. It serves the documentation as a hierarchical set of resources, each corresponding to a page or section in Clever Cloud’s official docs. Clients can request content by path, search across titles and bodies, or fetch metadata such as author, last updated date, and related links. The server also supports tool invocation, enabling an AI assistant to perform actions like opening a documentation page in the user’s browser or generating quick‑start snippets directly from the docs.

Key capabilities include:

• Structured resource discovery – AI clients can list all available documentation sections, making navigation intuitive and automated.
• Full‑text search – A simple query interface returns the most relevant pages, allowing assistants to surface precise answers without external search engines.
• Metadata extraction – Each resource exposes rich metadata (tags, version, dependencies) that can be leveraged for contextual reasoning.
• Tool integration – The server registers a lightweight tool that, when invoked by an assistant, can open the requested page in a browser or copy relevant code snippets to the clipboard.
• Fast development cycle – With built‑in and MCP Inspector support, developers can iterate on the server’s behavior quickly in a terminal or web UI.

Real‑world scenarios where this MCP server shines include:

• Developer onboarding – New team members can ask an AI assistant for step‑by‑step guides on deploying a microservice to Clever Cloud, and receive instantly updated documentation links.
• Continuous integration pipelines – CI jobs can query the MCP server for the latest API reference to validate that code changes remain compatible with Clever Cloud’s platform.
• Product documentation bots – Support agents can embed the MCP server in a chat interface, enabling customers to retrieve troubleshooting guides or configuration examples on demand.
• Educational tools – Courses teaching cloud deployment can use the server to dynamically fetch exercises and best‑practice articles from Clever Cloud’s docs.

By turning documentation into a first‑class MCP resource, this server empowers AI assistants to become true knowledge partners. Developers benefit from a single, version‑controlled source of truth that scales with the platform’s updates, while users enjoy instant, contextually relevant information without leaving their conversational workflow.