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Awesome MCP Server
This project contains multiple MCP server implementations, providing services for weather queries, LinkedIn profile retrieval, and PubMed article searches.
rating : 2.5 points
downloads : 35
What is Awesome-MCP-Server?
Awesome-MCP-Server is a set of server implementations based on the Model Context Protocol (MCP), aiming to provide real-time data support for AI models. Through these servers, you can obtain content such as weather information, LinkedIn profiles, and PubMed articles.How to use Awesome-MCP-Server?
First, select the server you need (e.g., the weather server or the LinkedIn server), and then follow the instructions in the corresponding README file for deployment and use. Usually, you can complete the configuration and start using it in just a few steps.Applicable Scenarios
Suitable for AI applications that require real-time data support, such as intelligent assistants, data analysis tools, and personal career development platforms.Main Features
Multi-source Data AccessSupports data retrieval from multiple external APIs, including weather, LinkedIn, and PubMed.
Real-time UpdatesAll data supports real-time synchronization to ensure the information is up-to-date.
Easy to UseProvides a clear command-line interface for quick onboarding.
Advantages and Limitations
Advantages
Powerful data integration capabilities.
Highly customizable.
Well-supported by the open-source community.
Limitations
Requires a certain technical foundation to fully leverage its potential.
Some advanced features may depend on specific API permissions.
How to Use
Clone the Repository
Run the following command to clone the project locally: `git clone https://github.com/AIAnytime/MCP-Servers.git`.
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Install Dependencies
After entering the project directory, install the necessary dependencies according to the specific server requirements.
Start the Server
Use the provided script to start the target server.
Usage Examples
Weather Query ExampleDemonstrate how to get the current weather conditions in New York City.
LinkedIn Profile AnalysisShow how to obtain John Doe's public LinkedIn profile.
Frequently Asked Questions
Does it support custom query parameters?
How to handle API key issues?
Related Resources
GitHub Repository
The project homepage, containing the complete code and documentation.
YouTube Tutorials
Watch the official tutorial videos to learn how to get started quickly.
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