- MCP Batch Operations Server
MCP Batch Operations Server
Efficient MCP server for batch operations with parallel processing, smart grouping, and comprehensive error handling
Content
MCP Batch Operations Server
An efficient Model Context Protocol (MCP) server for executing batch operations with parallel processing, smart grouping, and comprehensive error handling.
Features
- Parallel Processing: Execute multiple operations concurrently with configurable limits
- Smart Grouping: Automatically group operations by type for optimal performance
- Error Resilience: Continue processing on errors or stop immediately based on configuration
- Retry Logic: Built-in retry mechanism for failed operations
- Comprehensive Logging: Detailed operation logs for debugging and monitoring
- Multiple Operation Types: File operations, code analysis, and transformations
Installation
- Clone this repository:
git clone https://github.com/ahmedibrahim085/mcp-batch-server.git
cd mcp-batch-server
- Install dependencies:
npm install
- Build the server:
npm run build
Configuration for Claude Desktop
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"batch-operations": {
"command": "node",
"args": [
"/path/to/mcp-batch-server/dist/index.js"
]
}
}
}
Usage Examples
Basic File Operations
await batch_file_operations({
operations: [
{ type: "create", path: "/tmp/file1.txt", content: "Hello" },
{ type: "create", path: "/tmp/file2.txt", content: "World" }
],
options: { maxConcurrent: 10 }
});
Batch Code Analysis
await batch_code_analysis({
files: ["/src/app.js", "/src/utils.js"],
analyses: ["complexity", "dependencies"]
});
Development
# Run in development mode
npm run dev
# Run tests
npm test
# Build for production
npm run build
License
MIT
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Tavily Mcp
WindsurfThe new purpose-built IDE to harness magic
DeepChatYour AI Partner on Desktop
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
ChatWiseThe second fastest AI chatbot™
CursorThe AI Code Editor
Amap Maps高德地图官方 MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Playwright McpPlaywright MCP server
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Serper MCP ServerA Serper MCP Server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.