S
syedazharmbnr1/ClaudeMCPServer
MCP Server implementation for Claude
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"syedazharmbnr1-claudemcpserver": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "duckdb", "command", "/path/to/python", "args", "/path/to/fastapi/duckdb/main.py"]
}
}
}Parsed from the README we fetched on 2026-11-06; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"syedazharmbnr1-claudemcpserver": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "duckdb", "command", "/path/to/python", "args", "/path/to/fastapi/duckdb/main.py"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
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 does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx -y @modelcontextprotocol/server-filesystem duckdb command /path/to/python args /path/to/fastapi/duckdb/main.py
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y @modelcontextprotocol/server-filesystem duckdb command /path/to/python args /path/to/fastapi/duckdb/main.py. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
# 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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- Source
- awesome · https://github.com/syedazharmbnr1/ClaudeMCPServer
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