About MCP-Servers 🚀
MCP-Servers is a repository of separate MCP server implementations, including servers for weather information and LinkedIn profiles. It is for developers exploring or integrating these examples with MCP clients.
Key features
- 01Real-time weather retrieval
- 02Weather forecasts
- 03LinkedIn profile retrieval via RapidAPI
- 04Separate server implementations
Use cases
- 01Retrieve current weather for an MCP client
- 02Check weather forecasts
- 03Fetch LinkedIn profile data for processing
- 04Explore MCP server implementations
MCP support
The repository contains MCP servers that can integrate with MCP clients such as Claude for Desktop. They provide weather data and LinkedIn profile data from RapidAPI.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-Servers 🚀
This repository contains MCP (Model Context Protocol) servers . Each folder represents a different MCP server implementation.
📂 Server Implementations
-
Weather Server 🌦️
- Fetches real-time weather details and forecasts.
- Can be integrated with MCP clients like Claude for Desktop.
-
LinkedIn Profile Server 🔗
- Retrieves LinkedIn profile data via an external API from RapidAPI.
- Enables AI models to process professional profile insights.
🛠️ How to Use
- Clone the repository:
git clone https://github.com/AIAnytime/MCP-Servers.git cd MCP-Servers - Navigate to the desired server folder.
- Watch the MCP Playlist on AI Anytime YT Channel if you face any problem.
📢 Contribute
Feel free to open issues, submit pull requests, or suggest improvements!
📜 License
This project is open-source under the MIT License.
🔔 Like this project? Give it a ⭐ on GitHub!
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.