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MCP-Servers

by thefazzer

This repository contains MCP (Model Context Protocol) servers, with each folder representing a different server implementation. These servers can be integrated with MCP clients like Claude for Desktop.

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What is MCP-Servers?

This repository provides implementations of MCP (Model Context Protocol) servers. These servers act as data providers for AI models, allowing them to access real-time information and external APIs.

How to use MCP-Servers?

To use these servers, clone the repository, navigate to the desired server folder, and follow the specific instructions within that folder. Refer to the AI Anytime YT Channel for additional guidance.

Key features of MCP-Servers

  • Real-time data fetching

  • Integration with MCP clients

  • Modular server implementations

  • LinkedIn profile data retrieval

  • Weather data retrieval

Use cases of MCP-Servers

  • Providing real-time weather data to AI models

  • Enabling AI models to analyze LinkedIn profiles

  • Building AI-powered applications with external data sources

  • Integrating AI models with various APIs

  • Creating context-aware AI applications

FAQ from MCP-Servers

What is MCP?

MCP stands for Model Context Protocol. It's a protocol for AI models to access external data and services.

What kind of servers are included?

Currently, the repository includes a Weather Server and a LinkedIn Profile Server.

How can 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?

Watch the MCP Playlist on AI Anytime YT Channel.