Local Claude MCP Servers Collection
by saptechengineer
This repository provides a collection of locally-hosted Model Calling Protocol (MCP) servers designed to enhance Claude Desktop with external capabilities. It allows users to maintain full control over their data and processing.
Last updated: N/A
What is Local Claude MCP Servers Collection?
This is a collection of Model Calling Protocol (MCP) servers that extend the functionality of Claude Desktop by integrating external services. Currently, it includes servers for weather information and LinkedIn profile scraping, with plans for more.
How to use Local Claude MCP Servers Collection?
To use these servers, you need to clone the repository, install the necessary dependencies using UV, configure the MCP servers in Claude Desktop with the correct paths to the server scripts, and then you can interact with Claude using specific prompts to trigger the external services.
Key features of Local Claude MCP Servers Collection
Real-time weather information
LinkedIn profile scraping and analysis
Locally hosted for data privacy
Extensible with new MCP servers
Fast installation using UV
Use cases of Local Claude MCP Servers Collection
Getting weather updates for specific locations
Creating professional profile summaries from LinkedIn
Analyzing career trajectories of LinkedIn users
Automating data extraction from LinkedIn profiles
Integrating external data sources with Claude Desktop
FAQ from Local Claude MCP Servers Collection
How do I install the MCP servers?
How do I install the MCP servers?
Clone the repository, install dependencies using UV, and configure Claude Desktop with the correct paths.
What are the prerequisites for using these servers?
What are the prerequisites for using these servers?
You need Python 3.9+, Claude Desktop, and basic command-line knowledge.
How do I configure the MCP servers in Claude Desktop?
How do I configure the MCP servers in Claude Desktop?
Edit the MCP configuration file with the correct paths to the 'uv' executable and the server directories.
What if I encounter issues during installation?
What if I encounter issues during installation?
Verify the paths in the configuration, ensure the Python scripts are executable, check if all dependencies are installed, and review Claude Desktop logs.
Can I use cloud-hosted MCP servers instead?
Can I use cloud-hosted MCP servers instead?
Yes, you can use cloud-hosted options available through Smithery.ai for automated configuration.