MCP Batch Operations Server
@ahmedibrahim085
MCP Batch Operations Server について
Efficient MCP server for batch operations with parallel processing, smart grouping, and comprehensive error handling
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"batch-operations": {
"command": "node",
"args": [
"/path/to/mcp-batch-server/dist/index.js"
]
}
}
}ツール
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概要
What is MCP Batch Operations Server?
An MCP server for executing batch operations with parallel processing, smart grouping, and comprehensive error handling. It supports file operations, code analysis, and transformations.
How to use MCP Batch Operations Server?
Clone the repository, install dependencies with npm install, and build with npm run build. Configure by adding the server to your Claude Desktop configuration pointing to the built dist/index.js. Then invoke tools such as batch_file_operations and batch_code_analysis with appropriate parameters.
Key features of MCP Batch Operations Server
- Parallel processing with configurable concurrency limits
- Smart grouping of operations by type for optimal performance
- Error resilience: continue or stop on failure
- Built-in retry mechanism for failed operations
- Comprehensive logging for debugging and monitoring
- Multiple operation types: file, code analysis, transformations
Use cases of MCP Batch Operations Server
- Batch create files from a list of paths and contents
- Run code complexity and dependency analysis on multiple source files
- Execute a set of operations with controlled parallelism and error handling
FAQ from MCP Batch Operations Server
How do I install the MCP Batch Operations Server?
Clone the repository, run npm install to install dependencies, then run npm run build to compile the server.
How do I configure the server with Claude Desktop?
Add an entry to your Claude Desktop configuration JSON (typically at ~/Library/Application Support/Claude/claude_desktop_config.json) with the command node and args pointing to the built dist/index.js.
What tools does the server provide?
The server provides batch_file_operations for file creation and batch_code_analysis for running analyses like complexity and dependencies on multiple files.
Can I control how many operations run concurrently?
Yes, the batch_file_operations tool accepts an options.maxConcurrent parameter to set the maximum number of parallel operations (example uses 10).
Does the server automatically retry failed operations?
Yes, the server includes a built-in retry mechanism for failed operations, part of its error resilience features.
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