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Local Claude MCP Servers Collection

@saptechengineer

代码仓库

关于 Local Claude MCP Servers Collection

Enterprise MCP servers

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-saptechengineer": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Local Claude MCP Servers Collection?

A collection of locally-hosted Model Calling Protocol (MCP) servers for extending Claude Desktop with external capabilities—such as weather retrieval and LinkedIn profile scraping—while keeping all data and processing under your control.

How to use Local Claude MCP Servers Collection?

Clone the repository, install uv, set up each server with uv venv and pip install, then add the provided JSON configuration to Claude Desktop’s MCP settings. After restarting Claude, you can ask weather questions or request LinkedIn profile summaries.

Key features of Local Claude MCP Servers Collection?

  • Weather service for real-time location-based weather data
  • LinkedIn profile scraper for extracting professional details
  • Locally hosted to keep your data private and secure
  • Simple JSON configuration in Claude Desktop
  • Built with Python 3.9+ and uv for fast dependency management
  • Planned expansions including document analysis and calendar integration

Use cases of Local Claude MCP Servers Collection?

  • Ask Claude for current weather conditions anywhere in the world
  • Create detailed summaries of LinkedIn profiles by providing URLs
  • Combine local processing with optional cloud‑hosted MCP servers from Smithery.ai
  • Extend Claude’s capabilities without sending sensitive data to external services

FAQ from Local Claude MCP Servers Collection

What servers are included?

Currently two servers: a Weather Service and a LinkedIn Profile Scraper. More are planned.

What are the prerequisites?

You need Python 3.9+, Claude Desktop, and basic command line knowledge.

How do I configure the servers?

Add a JSON block to Claude Desktop’s MCP configuration with the path to uv and the directory for each server.

Where does my data stay?

All processing runs locally on your machine; your data never leaves your control.

Are there alternative deployment options?

Yes, you can use cloud‑hosted MCP servers via Smithery.ai instead of or alongside local ones.

常见问题

What servers are included?

Currently two servers: a Weather Service and a LinkedIn Profile Scraper. More are planned.

What are the prerequisites?

You need Python 3.9+, Claude Desktop, and basic command line knowledge.

How do I configure the servers?

Add a JSON block to Claude Desktop’s MCP configuration with the path to `uv` and the directory for each server.

Where does my data stay?

All processing runs locally on your machine; your data never leaves your control.

Are there alternative deployment options?

Yes, you can use cloud‑hosted MCP servers via Smithery.ai instead of or alongside local ones.

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基本信息

分类

AI 与智能体

传输方式

stdio

作者

saptechengineer

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