S
syedazharmbnr1/ClaudeMCPServer
MCP Server implementation for Claude
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"syedazharmbnr1-claudemcpserver": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "duckdb", "command", "/path/to/python", "args", "/path/to/fastapi/duckdb/main.py"]
}
}
}解析自我们于 2026-11-06 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"syedazharmbnr1-claudemcpserver": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "duckdb", "command", "/path/to/python", "args", "/path/to/fastapi/duckdb/main.py"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio syedazharmbnr1-claudemcpserver -- npx -y @modelcontextprotocol/server-filesystem duckdb command /path/to/python args /path/to/fastapi/duckdb/main.py
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx -y @modelcontextprotocol/server-filesystem duckdb command /path/to/python args /path/to/fastapi/duckdb/main.py
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx -y @modelcontextprotocol/server-filesystem duckdb command /path/to/python args /path/to/fastapi/duckdb/main.py。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# Claude MCP Server Collection
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
This repository contains a collection of Model Context Protocol (MCP) servers designed to enhance Claude's desktop application capabilities. Each server provides specific functionality that allows Claude to interact with your computer in different ways.
## Latest Addition: DuckDB Integration! 🚀
New DuckDB FastAPI server for efficient large-scale data analysis:
### Example Queries and Results
#### Query 1: Analysis
#### Query 2: Aggregated Results
### DuckDB Server Features
Analyze multiple CSV files (>1GB) directly in Claude Desktop
Lightning-fast SQL queries with DuckDB
Memory-efficient data processing
Connection pooling and caching
Automatic cleanup of unused connections
## Overview
The project consists of several MCP servers:
1. Screen Capture Server - Captures and processes screenshots
2. Computer Control Server - Enables keyboard and mouse automation
3. FastAPI Integration Server - Handles data processing and API endpoints
4. Curl Server - Provides HTTP request capabilities
5. DuckDB Server - Enables large-scale data analysis
## Prerequisites
Python 3.8 or higher
Node.js and npm (for filesystem server)
Claude Desktop Application
Git
## Installation
1. Clone the repository:
bash
git clone https://github.com/syedazharmbnr1/ClaudeMCPServer.git
cd ClaudeMCPServer
2. Create and activate a virtual environment:
bash
python3 -m venv .env
source .env/bin/activate # On Windows: .env\Scripts\activate
3. Install dependencies:
bash
pip install -r requirements.txt
## Server Components
### 1. DuckDB Server
Enables Claude to analyze large CSV files efficiently.
#### Setup and Usage:
bash
cd fastapi/duckdb
python main.py
#### Features:
Process multiple CSV files simultaneously
Handle files larger than 1GB
Fast SQL querying with DuckDB
Memory-efficient processing
Connection pooling
### 2. Screen Capture Server
Enables Claude to capture and process screenshots of your screen.
#### Setup and Usage:
bash
python mcpscreenserver.py
#### Features:
Real-time screen capture
Dynamic image compression
WebP format support for optimal file size
Customizable save locations
### 3. Computer Control Server
Allows Claude to control mouse and keyboard actions.
#### Setup and Usage:
bash
python ComputerUse/mcpcomputerserver.py
#### Features:
Mouse movement and clicks
Keyboard shortcuts and text input
Screen position tracking
Clipboard operations
### 4. FastAPI Integration Server
The FastAPI server provides a robust API interface for data processing and integration.
#### Setup and Configuration:
1. Navigate to the FastAPI directory:
bash
cd fastapi
2. Configure environment variables:
bash
export PYTHONPATH=/path/to/mcp-server-py
export PORT=8000
3. Start the server:
bash
python main.py
### 5. Curl Server
Provides HTTP request capabilities to Claude.
#### Setup:
bash
cd CurlServer
./startserver.sh # For the basic server
./startmcpserver.sh # For the MCP integration
## Claude Desktop Integration
### Configuration
1. Copy the claudedesktopconfig.json to your Claude Desktop app configuration directory
## Latest Addition: DuckDB Integration! 🚀
New DuckDB FastAPI server for efficient large-scale data analysis:
### Example Queries and Results
#### Query 1: Analysis
#### Query 2: Aggregated Results
### DuckDB Server Features
Analyze multiple CSV files (>1GB) directly in Claude Desktop
Lightning-fast SQL queries with DuckDB
Memory-efficient data processing
Connection pooling and caching
Automatic cleanup of unused connections
## Overview
The project consists of several MCP servers:
1. Screen Capture Server - Captures and processes screenshots
2. Computer Control Server - Enables keyboard and mouse automation
3. FastAPI Integration Server - Handles data processing and API endpoints
4. Curl Server - Provides HTTP request capabilities
5. DuckDB Server - Enables large-scale data analysis
## Prerequisites
Python 3.8 or higher
Node.js and npm (for filesystem server)
Claude Desktop Application
Git
## Installation
1. Clone the repository:
bash
git clone https://github.com/syedazharmbnr1/ClaudeMCPServer.git
cd ClaudeMCPServer
2. Create and activate a virtual environment:
bash
python3 -m venv .env
source .env/bin/activate # On Windows: .env\Scripts\activate
3. Install dependencies:
bash
pip install -r requirements.txt
## Server Components
### 1. DuckDB Server
Enables Claude to analyze large CSV files efficiently.
#### Setup and Usage:
bash
cd fastapi/duckdb
python main.py
#### Features:
Process multiple CSV files simultaneously
Handle files larger than 1GB
Fast SQL querying with DuckDB
Memory-efficient processing
Connection pooling
### 2. Screen Capture Server
Enables Claude to capture and process screenshots of your screen.
#### Setup and Usage:
bash
python mcpscreenserver.py
#### Features:
Real-time screen capture
Dynamic image compression
WebP format support for optimal file size
Customizable save locations
### 3. Computer Control Server
Allows Claude to control mouse and keyboard actions.
#### Setup and Usage:
bash
python ComputerUse/mcpcomputerserver.py
#### Features:
Mouse movement and clicks
Keyboard shortcuts and text input
Screen position tracking
Clipboard operations
### 4. FastAPI Integration Server
The FastAPI server provides a robust API interface for data processing and integration.
#### Setup and Configuration:
1. Navigate to the FastAPI directory:
bash
cd fastapi
2. Configure environment variables:
bash
export PYTHONPATH=/path/to/mcp-server-py
export PORT=8000
3. Start the server:
bash
python main.py
### 5. Curl Server
Provides HTTP request capabilities to Claude.
#### Setup:
bash
cd CurlServer
./startserver.sh # For the basic server
./startmcpserver.sh # For the MCP integration
## Claude Desktop Integration
### Configuration
1. Copy the claudedesktopconfig.json to your Claude Desktop app configuration directory
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- 来源
- awesome · https://github.com/syedazharmbnr1/ClaudeMCPServer
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