what is Awesome-MCP-Server?
Awesome-MCP-Server is a repository containing various implementations of Model Context Protocol (MCP) servers designed to fetch and process data from different sources.
how to use Awesome-MCP-Server?
To use Awesome-MCP-Server, clone the repository from GitHub, navigate to the desired server folder, and follow the instructions in the README.md file.
key features of Awesome-MCP-Server?
- Multiple server implementations for different data sources
- Real-time weather data fetching
- LinkedIn profile data retrieval via external APIs
- Access to PubMed articles based on queries
use cases of Awesome-MCP-Server?
- Integrating weather data into applications
- Analyzing professional profiles for insights
- Retrieving academic articles for research purposes
FAQ from Awesome-MCP-Server?
- How do I contribute to this project?
You can open issues, submit pull requests, or suggest improvements on GitHub.
- Is there a license for this project?
Yes, this project is open-source under the MIT License.
- Where can I find help if I face issues?
You can watch the MCP Playlist on the AI Anytime YouTube Channel for assistance.
Awesome-MCP-Server 🚀
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.
-
Fetch PubMed Article Server 🔗
- Retrieves articles from PubMed given a query.
🛠️ How to Use
- Clone the repository:
git clone https://github.com/AIAnytime/MCP-Servers.git cd MCP-Servers - Navigate to the desired server folder. Follow the respective README.md file for instructions.
- 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!
