MarketScope AI is an intelligent healthcare market analysis platform that provides functions such as healthcare segment market analysis, product comparison, and sales data insights through AI and natural language processing technologies.

MCP Agile Flow is an AI - assisted agile development workflow management system based on FastMCP, providing RESTful APIs and a resource - prioritized architecture, supporting natural language command processing and multi - IDE integration.

An image processing server based on the MCP protocol that enables professional - level image editing functions through natural language instructions, including generation, modification, background removal, and hosting services.

A Python - based LINE MCP server that allows language models to read and analyze LINE conversation messages through a standardized interface. The project uses the FastAPI framework, supports text, sticker, and image message processing, and provides core functions such as message storage and API endpoints.

Scanpy MCP is a natural language processing server designed for the single-cell RNA sequencing analysis software Scanpy, supporting operations such as data reading and writing, preprocessing, analysis, and visualization through natural language. It is suitable for researchers and proxy developers.

A lightweight Kubernetes MCP server that provides natural language processing and API access functions, and operates cluster resources by combining kubectl commands and the Python client.

An intelligent pet companion application based on the MCP protocol, realizing interaction with virtual pets through voice recognition and natural language processing, and supporting multi - platform operation.

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

An image processing server based on the MCP protocol, realizing professional - level image editing functions through natural language instructions

This is an MCP project that allows users to control the GIMP image editing software through natural language conversations, converting complex image processing operations into simple conversation instructions and supporting various image editing functions from basic adjustments to advanced special effects.

SQLGenius is an AI - based SQL assistant that converts user questions into SQL queries through natural language processing technology, supports BigQuery database operations, and provides interactive data visualization and schema exploration functions.

ExternalAttacker is an AI security tool that combines automated scanning with natural language processing. It provides external attack surface management and reconnaissance functions through the MCP protocol, supporting multiple scan types and tool integrations.

An intelligent React component generation MCP server based on the Reablocks design system, which generates production-ready TypeScript components through natural language processing, including responsive layout and accessibility support.

This project enables large language models to directly understand and generate audio effect modules in the Max audio processing software through the Model Context Protocol (MCP). It supports explaining, modifying, and creating audio effect modules and provides an interaction interface with LLMs.

This is an MCP server framework based on Ruby, implementing the Model Context Protocol (MCP), allowing large language models to invoke tools (such as generating random numbers). The project includes functions such as protocol processing, tool management, and logging, and supports integration with LLMs such as Claude.

The MCP Development Framework is a powerful toolset for interacting with large language models, providing functions such as file processing (PDF/Word/Excel) and web content retrieval. It supports Cursor IDE extension and has technical features such as intelligent file identification, efficient processing, and memory optimization.

Code Merge MCP is a code processing server based on the MCP protocol, providing code file extraction, merging, and analysis functions to help large language models efficiently process codebases.

This project integrates Claude AI with Pure Data through the Model Context Protocol, supporting dynamic creation, modification, and control of Pure Data audio processing modules through natural language.

MCP - Slicer is an integrated tool that connects 3D Slicer with model clients (such as Claude) through the MCP protocol, supporting direct operation of 3D Slicer for medical image processing and scene control using natural language.

SCMCP is an MCP server for single-cell RNA sequencing analysis through natural language processing

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

The MCP Code Indexer is an intelligent code retrieval tool designed specifically for large AI language models. It improves the efficiency and accuracy of code processing through semantic understanding and vectorized indexing, supporting functions such as code analysis, quality assessment, and dependency management.

A Python-based Azure CLI assistant that generates Azure commands through natural language processing and relies on the Azure MCP service to implement functions.

This project is a list of MCP servers implemented in Go, including multiple services for natural language processing and database interaction, such as text-to-SQL and knowledge base retrieval. It supports multiple platforms, is open-source, and free of charge.

The JetBrains MCP Server plugin enables seamless integration of large language models with JetBrains IDEs, providing server-side processing and custom tool extension points.

An MCP server project that allows creating and running Processing sketches through natural language commands, supporting the generation of visual art and games.

This project uses natural language processing technology to automatically extract key elements from guarantee texts, split clauses, and highlight key points, and output structured data, providing an automated processing solution for legal and financial professionals.

The MCP development framework is a powerful framework for creating custom tools to interact with large language models. It provides functions such as file processing and web content retrieval, supports multiple formats such as PDF, Word, and Excel, and has technical features such as intelligent recognition, efficient processing, and memory optimization.

An MCP server that implements Harvest time entry recording through natural language processing, supporting intelligent parsing and automatic handling of leave requests

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

An MCP server implementation that provides event processing capabilities through Kafka integration and allows large language models to interact with Kafka topics through the model context protocol.

MCP Moni is an MCP server integrated into the Monad testnet, providing blockchain interaction functions for AI assistants, including token balance query, transfer, MON wrapping/unwrapping, block query, NFT creation, and natural language request processing.

The Firestore Advanced MCP server enables large language models like Claude to fully interact with the Firebase Firestore database, supporting operations such as CRUD, advanced queries, and transaction processing.

A natural language processing-based intent parsing server that converts user input into structured and executable workflows, providing scalable API interfaces and a reliable processing architecture.

Multilingual AI translation service based on the MCP protocol, supporting long text processing and automatic language detection

Auto - Snap MCP is an automated screenshot and document processing tool that can automatically convert screenshots to PDF. It supports operations through natural language commands and is suitable for various system environments.

An image processing server based on the MCP protocol that realizes professional - level image editing functions through natural language instructions

A server based on the Model Context Protocol (MCP) for securely interacting with Watson Discovery and supporting query operations through natural language processing.