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Local Claude MCP Servers Collection
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Local Claude MCP Servers Collection

This project is a collection of localized MCP servers used to extend the functionality of the Claude desktop application. It includes services such as weather query and LinkedIn profile scraping, and supports autonomous data control and processing.
Artificial intelligence chatbotsDeveloper tools#Local Extension#Data Control#Weather Service#Profile Scraping.Python
2 points
10.0K
Open Site

Overview

Installation

Content Details

Alternatives

Introduction

These local MCP servers allow you to directly connect to and extend the capabilities of the Claude model without relying on cloud service providers. By running these servers locally, you have full control over your data and can enjoy faster response times and lower costs.

How to Use

The process of configuring and running the MCP servers is very simple. Just follow the instructions in the official documentation and ensure that your system meets the minimum requirements to start using them. You can manage these servers through the command-line interface or the graphical user interface.

Application Scenarios

Local MCP servers are suitable for various scenarios that require high performance and privacy protection, such as data analysis, real-time chatbot development, and automated task processing.
Weather Service
Provide real-time weather data query function by integrating a weather API.
LinkedIn Profile Scraper
Scrape LinkedIn profile information without an API key, but there may be usage restrictions.
Local Processing
All data processing is done locally to ensure the highest level of privacy and security.
Do I need an API key?
Can I run multiple MCP servers simultaneously?
How can I tell if the MCP server is running properly?
Can I create a custom MCP server?

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "weather": {
            "command": "C:/Users/yourusername/AppData/Local/Programs/Python/Python311/Scripts/uv",
            "args": [
                "--directory",
                "C:/path/to/your/MCP/weather",
                "run",
                "weather.py"
            ]
        },
        "linkedin_profile_scraper": {
            "command": "C:/Users/yourusername/AppData/Local/Programs/Python/Python311/Scripts/uv",
            "args": [
                "--directory",
                "C:/path/to/your/MCP/linkedin",
                "run",
                "linkedin.py"
            ]
        }    
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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