Local Claude MCP Servers Collection

Local Claude MCP Servers Collection

A professional collection of locally-hosted Model Calling Protocol (MCP) servers for enhancing Claude Desktop with external capabilities while maintaining full control over your data and processing.

⭐ If you find this project useful, please consider giving it a star on GitHub to show your support! ⭐

Overview

This repository contains MCP servers that extend Claude Desktop with additional capabilities:

• Weather Service: Get real-time weather information for any location
• LinkedIn Profile Scraper: Extract and analyze professional profiles from LinkedIn

More MCP servers coming soon!

Project Structure

MCP/
├── linkedin/
│   ├── .venv/
│   ├── .env
│   ├── .gitignore
│   ├── linkedin.py
│   ├── pyproject.toml
│   └── uv.lock
├── weather/
│   ├── .venv/
│   ├── pyproject.toml
│   ├── requirements.txt
│   ├── uv.lock
│   └── weather.py
├── claude desktop config.png
└── README.md

Prerequisites

• Python 3.9+ installed on your system
• Claude Desktop application
• Basic knowledge of command line operations

Installation

1. Install UV

UV is a modern Python package installer and resolver that ensures fast, reproducible installations.

pip install uv

2. Verify UV Installation Path

Find the exact path where UV is installed:

where uv  # On Windows
which uv  # On macOS/Linux

Take note of this path as you'll need it for the configuration.

3. Clone the Repository

git clone https://github.com/yourusername/claude-mcp-servers.git
cd claude-mcp-servers

4. Set Up Each MCP Server

Each server is contained in its own directory with the necessary dependencies.

# For the weather service
cd weather
uv venv
uv pip install -r requirements.txt

# For the LinkedIn scraper
cd ../linkedin
uv venv
uv pip install -r requirements.txt

Configuration

Configuring Local MCP Servers

To configure the MCP servers from this repository on your local machine:

{
    "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: Replace the paths in the configuration with your actual paths.

Usage

After completing the setup, you can start leveraging these powerful extensions with Claude Desktop:

Weather Service

Ask Claude about the weather anywhere in the world:

What's the current weather in New York City?
Will it rain in London tomorrow?
What's the temperature forecast for Tokyo this week?

LinkedIn Profile Scraper

Ask Claude to create detailed professional profile summaries:

Create a proper profile page with the details of https://www.linkedin.com/in/parthasap/
Summarize the career trajectory of https://www.linkedin.com/in/anyprofile/
What skills does https://www.linkedin.com/in/someprofile/ have?

Contributing

Contributions are welcome! Here's how you can contribute:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add some amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

Troubleshooting

If you encounter issues:

• Verify that all paths in the configuration are correct
• Ensure the Python scripts are executable
• Check if all dependencies are installed
• Review Claude Desktop logs for error messages
• Verify your .env files contain the necessary API keys

Planned MCP Servers

We're actively developing additional MCP servers:

• Document Analysis Tool
• Calendar Integration
• Email Composition Assistant
• Code Repository Analyzer
• Data Visualization Tool

Using Cloud-Hosted MCP Servers

As an alternative to running MCP servers locally, you can also use cloud-hosted options available through Smithery.ai:

Automated Configuration for Cloud-Hosted MCP Servers

1. Visit Smithery.ai
2. Find and copy the command for your desired cloud-hosted MCP server
3. Run the command in your computer terminal
4. The MCP configuration file will be automatically updated
5. Restart Claude Desktop to use the new MCP servers

🚀 Pro Tip: Cloud-hosted MCP servers can complement your local ones, giving you the best of both worlds - local processing for sensitive tasks and cloud services for specialized capabilities without managing infrastructure.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• Anthropic for creating Claude
• Smithery.ai for providing cloud-hosted MCP servers
• All contributors who have helped shape this project

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Made with ❤️ for the Claude community
Star this repo if you found it useful!