# Data Processing

SSP-MCP Server Project

The Dumpling AI MCP Server is a protocol server implementation that integrates multiple AI functions and data processing capabilities

A collection of MCP servers based on Deno and TypeScript, providing various extension tools and resources for AI models.

Bloodhound-MCP is a backend implementation that provides API services for Bloodhound applications, responsible for data processing and request management, with scalability and reliability.

This project builds a lightweight MCP server that enables interaction between local AI tools and the Claude assistant through Python. It supports processing data files such as CSV and Parquet, facilitating natural language query and analysis.

The ScrapeGraph MCP Server is a production - ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to leverage advanced AI - driven web scraping capabilities.

Kafka Message Processing Center Service

An MCP server project that provides file reading and writing, data analysis (especially for CSV files), visualization generation, and PDF text extraction functions, and supports interaction with MCP clients such as Claude Desktop.

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.