347 Awesome MCP Server
This project contains multiple MCP server implementations, such as weather services, LinkedIn profile retrieval, and PubMed article retrieval, and supports integration with MCP clients.
rating : 2 points
downloads : 9.5K
What is Awesome-MCP-Server?
Awesome-MCP-Server is a set of professional servers that provide real-time data services through the Model Context Protocol (MCP). These servers enable AI models to access and process external data, such as weather forecasts, professional profiles, and scientific articles.How to use Awesome-MCP-Server?
Simply clone the repository and run the desired servers. Each server comes with clear installation instructions for integration with MCP clients (e.g., Claude Desktop).Use Cases
Suitable for AI applications that require real-time external data, professional network insights, or scientific research capabilities.Key Features
Weather Server
Provide real-time weather data and forecasts for any location.
LinkedIn Profile Server
Retrieve professional profile information on LinkedIn through RapidAPI.
PubMed Article Server
Get scientific article data from PubMed.
How to Use
Step 1: Clone the Repository
Clone the Awesome-MCP-Server repository from GitHub to your local device.
Step 2: Install Dependencies
Install the required Python packages and other dependencies.
Step 3: Configure Settings
Configure the server settings and API keys as needed.
Step 4: Run the Server
Start the MCP server and begin using the relevant services.
Usage Examples
Weather Forecast Query
Get real-time weather data for New York City from the server.
LinkedIn Profile Analysis
Retrieve a professional's career background information through the API.
Frequently Asked Questions
What is the MCP protocol?
How to configure the API key?
Is there a fee for using the MCP server?
Resources
GitHub Repository
The source code repository for the MCP server.
MCP Tutorial Video
Teaching videos on the installation and use of the MCP server.
MIT License
The open - source license file for the project.

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