Awesome-MCP-Server

by bittush8789

API/Management & Tools Server API Weather LinkedIn PubMed

This repository contains various MCP (Model Context Protocol) server implementations. Each server provides specific data like weather, LinkedIn profiles, or PubMed articles for use with AI models.

View on GitHub

Last updated: N/A

What is Awesome-MCP-Server?

This repository provides a collection of MCP (Model Context Protocol) servers. These servers act as data providers, offering specific information like weather details, LinkedIn profile data, and PubMed articles, designed to be integrated with AI models and clients.

How to use Awesome-MCP-Server?

To use these servers, first clone the repository using git clone https://github.com/AIAnytime/MCP-Servers.git and navigate to the desired server folder. Each server folder contains a README.md file with specific instructions on how to set up and use that particular server. For additional help, refer to the MCP Playlist on the AI Anytime YT Channel.

Key features of Awesome-MCP-Server

Real-time data fetching
Integration with MCP clients
Diverse data sources (Weather, LinkedIn, PubMed)
Modular server implementations

Use cases of Awesome-MCP-Server

Enhancing AI model context with real-time weather data
Providing professional profile insights to AI models
Enabling AI models to access and process scientific articles
Building AI applications with access to external data sources

FAQ from Awesome-MCP-Server

What is MCP?

MCP stands for Model Context Protocol. It's a protocol for providing context to AI models.

What kind of servers are included?

The repository includes servers for fetching weather data, LinkedIn profile data, and PubMed articles.

How do I contribute?

You can contribute by opening issues, submitting pull requests, or suggesting improvements.

Is this project open source?

Yes, this project is open-source under the MIT License.

Where can I find more help?

You can watch the MCP Playlist on the AI Anytime YT Channel for more help.