Clever Cloud Documentation MCP Server is a demo server based on FastMCP that exposes Clever Cloud's documentation. It is derived from the MCP Clever Demo created by davlgd and serves as an implementation example for MCP clients.
This server is designed to provide developers with an easy way to access and interact with Clever Cloud's documentation via an MCP client. It also acts as a reference implementation for developing and testing other MCP-based projects.
The target audience includes developers, especially those working with MCP clients like Claude Desktop, who want to explore Clever Cloud's documentation or develop/debug their own MCP servers.
The project is hosted on GitHub under the repository LostInBrittany/clever-doc-mcp-server. It contains all necessary files such as source code, README, and configuration files.
You should use this server when you need to test MCP functionalities, debug your MCP client integration, or explore Clever Cloud's documentation programmatically.
To run the server locally for testing and debugging, use the command: `npx fastmcp dev src/index.ts`. This will launch the server with mcp-cli for terminal-based interaction.
Yes, you can use the official MCP Inspector by running the command: `npx fastmcp inspect src/index.ts`. This provides a Web UI for inspecting your server.
The project is licensed under the MIT License, making it open-source and free to use, modify, and distribute.
The repository includes essential files like `src/` (source code), `.gitignore`, `LICENSE`, `README.md`, `package.json`, `package-lock.json`, and `tsconfig.json` for configuration and setup.
To integrate with an MCP client like Claude Desktop, configure the client with the following settings: `{ "mcp-clever-demo": { "command": "npx", "args": [ "-y", "mcp-clever-demo" ] } }`.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.