# Batch Processing

The Firecrawl MCP Server is a Model Context Protocol server that integrates the web scraping capabilities of Firecrawl, providing functions such as web page scraping, crawling, searching, content extraction, and batch processing, and supporting cloud and self - hosted deployment.

The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.

A general MCP server based on Rust, providing automation tools for controlling Affinity series design software (Photo/Designer/Publisher) through natural language, supporting batch parallel file operations, and integrating with Canva workflows.

An MCP server that supports image downloading and processing, offering functions such as batch downloading, format conversion, size adjustment, and compression

A Python tool for converting CHM help files to Markdown format, supporting code highlighting, table preservation, and batch processing, facilitating version management of technical documents.

A high-performance TypeScript analysis and repair server specifically designed to detect and replace `any` types in code, providing advanced features such as batch processing and component interface generation.

An image generation service based on Together AI, integrated with Cursor MCP, a high-quality image generation tool that supports multiple aspect ratios and batch generation.

An AI customer support server based on the MCP protocol, integrating Cursor AI and Glama.ai, providing real - time context retrieval and intelligent response generation.

This project provides a FastMCP server for batch execution of file and folder operations, including reading, creating, moving, deleting, etc., supporting centralized exception handling and batch tool calls.

The RevenueBase MCP Server provides access to the industry-leading email verification API, supporting functions such as real-time verification, batch processing, and credit management, with an accuracy rate of over 99%.

An MCP server based on the rembg background removal library that provides image background removal functions for tools such as Claude through AI models. It supports multiple models and batch processing.

An image - generating MCP server based on the FLUX model, providing functions such as text - to - image conversion, batch generation, and custom parameters

Aseprite MCP Tools v2.0 is a powerful Python toolset for programmatically interacting with Aseprite via the Model Context Protocol, providing enhanced error handling, configuration management, batch processing, and palette management functions.

An AI customer service support system based on the MCP protocol, integrating Cursor AI and Glama.ai to provide real-time context acquisition and intelligent response generation, supporting functions such as batch processing, priority queuing, and health monitoring.

A high-performance PDF to Markdown service based on MCP, supporting batch processing and structured output

ParseFlow is an AI-driven all-in-one document parsing library that supports PDF, Word, Excel, PPT, and image OCR, provides semantic search and batch processing functions, and includes an MCP Server for AI assistants to use.

A multi-language code comment cleaning service based on the MCP protocol, supporting batch processing of files in multiple programming languages. Developed using TDD to ensure quality.

A Python-based MCP web crawler project for extracting and saving website content as Markdown files, supporting batch processing and multi-threaded configuration.

An IMAP server designed specifically for Gmail, providing AI-driven email analysis and intelligent management functions, supporting Gmail API integration and Google Cloud Storage

A high-performance image compression microservice based on the MCP architecture

Firecrawl MCP Server is a model context protocol server that integrates Firecrawl's web crawling capabilities, providing functions such as web scraping, crawling, searching, content extraction, and in - depth research, and supporting features such as JavaScript rendering, URL discovery, batch processing, and automatic retry.

A cross - platform tool that supports batch converting PNG/JPG images to WebP format, provides multi - threaded processing and various conversion options, and integrates the MCP protocol for easy use in AI development environments.