MCP-Servers 🚀

What is MCP-Servers 🚀?

MCP-Servers 🚀 is a repository containing multiple MCP (Model Context Protocol) server implementations. It includes a Weather Server that fetches real‑time weather data and forecasts, and a LinkedIn Profile Server that retrieves professional profile information via an external RapidAPI endpoint. The project is intended for developers integrating MCP clients such as Claude for Desktop.

How to use MCP-Servers 🚀?

Clone the repository, navigate to the desired server folder, and follow that server’s setup instructions. If you encounter problems, refer to the MCP Playlist on the AI Anytime YouTube channel.

Key features of MCP-Servers 🚀

• Fetches real‑time weather details and forecasts
• Integrates with MCP clients like Claude for Desktop
• Retrieves LinkedIn profile data via RapidAPI
• Enables AI models to process professional profile insights
• Open‑source under the MIT License
• Contributions welcome via issues and pull requests

Use cases of MCP-Servers 🚀

• Provide real‑time weather information to an AI assistant
• Analyze LinkedIn professional backgrounds within an AI workflow
• Combine weather and profile data in a single MCP‑enabled application
• Extend the repository with custom MCP server implementations

FAQ from MCP-Servers 🚀

What MCP servers are included in this repository?

The repository includes two server implementations: a Weather Server and a LinkedIn Profile Server.

How do I install and run a server?

Clone the repository, change into the desired server folder, and follow the setup instructions. Additional help is available through the AI Anytime YouTube channel’s MCP playlist.

What MCP clients are compatible?

The Weather Server explicitly supports MCP clients like Claude for Desktop. Other clients may work but are not mentioned in the README.

What is the license for this project?

The project is open‑source under the MIT License.

Can I contribute to this repository?

Yes, you are welcome to open issues, submit pull requests, or