The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

A memory server implementing the Model Context Protocol (MCP), providing persistent memory storage and retrieval functions based on a knowledge graph for large language models.

The ChatData MCP Server is a framework based on the Model Control Protocol, providing a toolset, prompt system, and resource management to enhance the capabilities of large language models.

This project is a Python - based implementation of the MCP (Model Context Protocol) server and client, aiming to provide standardized interfaces for AI models, unify the tool call formats of different large - model vendors, and integrate document search functions for multiple AI frameworks.

This project is a deep research server based on the Ollama local large - model, providing automated research tools through the MCP protocol, capable of iterative search, analysis, and summarization of complex topics.

A multi-platform job aggregation service based on the MCP architecture, supporting the acquisition and standardization of job data from mainstream recruitment websites and providing structured support for large models.

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.

The MCP service based on Superset implements large - model data query

An AI-driven MCP server for chart and prototype drawing, integrating multiple large language models and supporting the intelligent generation of draw.io format charts and HTML interactive product prototypes in multiple styles based on natural language descriptions.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

A service based on FastMCP that allows large language models to connect to and operate on a PostgreSQL database, providing schema exploration, table structure query, and database query capabilities.

apktool-mcp-server is an MCP server based on Apktool, integrating large language models (such as Claude), providing real-time reverse engineering support, including vulnerability analysis, manifest parsing, and code review.

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

A project based on the mcp-server, supporting large AI models to efficiently invoke Spinq's quantum computing hardware resources. It provides one-click installation scripts for Windows and macOS, automatically detecting the Python environment and installing dependencies.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

MCP-ORTools is a constraint solving service implementation based on Google OR-Tools. It integrates with large language models through a standardized constraint model specification and supports the solving of constraint satisfaction and optimization problems.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

A simple client-server implementation example based on the MCP protocol, demonstrating how to connect large language models with tool data.

The SingleStore MCP Server is a service based on the Model Context Protocol (MCP) for managing context between large language models (LLMs) and external systems. It supports interacting with SingleStore through natural language and simplifies complex operations.

MCP-ORTools is a constraint solving service based on Google OR-Tools that integrates with large language models through a standardized constraint model specification to achieve the submission, solving, and result analysis of constraint problems.

dap-mcp is a Debug Adapter Protocol (DAP) implementation based on the Model Context Protocol (MCP), aiming to optimize and extend the context window of large language models to enhance the debugging workflow.

BioMCP is a biomedical R & D server based on the MCP protocol. By integrating protein databases and analysis tools, it enhances the capabilities of large language models in the field of protein structure analysis.

An MCP server based on Go language that uses OpenAI's DALL-E API to generate images from text descriptions and can be integrated with large language models such as Claude.

A Reddit server based on the MCP protocol, used for interacting with large language models such as Claude, supporting search, retrieval of Reddit posts and comment content.

The Unity MCP Package is a Unity plugin focused on enhanced material editing. It implements two - way communication between Unity and large language models based on the MCP protocol, supports functions such as asset management, scene control, and script integration, and plans to add more advanced features.

The Cloudflare MCP service is a standardized protocol based on the Model Context Protocol (MCP) for managing context interactions between large language models (LLMs) and external systems. This project provides an installer and an MCP server, supporting the management of various resources in a Cloudflare account, such as Workers, KV storage, R2 storage, and D1 databases, through natural language instructions. Users can perform various operations in a Cloudflare account using natural language via MCP clients such as Claude Desktop, VSCode (Cline), and Windsurf.

A code modification and generation service based on large language models

A memory bank server based on the MCP protocol, supporting multi - project isolation and Markdown document management, providing tool call interfaces for large language models.

A service based on the Model Context Protocol (MCP) that allows large language models to search, download, and play YouTube music.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

Container-MCP is a container - based secure tool execution platform that provides an isolated environment for large language models to run code, commands, and perform network operations, implementing a secure implementation of the MCP protocol.

mcp-rag-server is a service based on the Model Context Protocol (MCP) that supports Retrieval Augmented Generation (RAG) and can index documents and provide relevant context for large language models.

The ZBD MCP Server is a deprecated Bitcoin payment service used to add Bitcoin payment functionality to LLMs (Large Language Models). The project is developed based on the TypeScript SDK, supports handling Bitcoin Lightning Network payments through the ZBD API, and provides various payment tools and functions. Users need to migrate to the new MCP Server implementation.

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.

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.

A Wikidata data access server based on the Model Context Protocol, providing 5 tools for large - language models to interact with Wikidata, including entity search, SPARQL query and other functions.

A Python - based Model Context Protocol (MCP) server template for creating standardized large language model (LLM) context services.

This project implements a server based on the MCP protocol for querying the French legal database via the Legifrance API, supporting integration with large language models such as Claude and providing search functions for legal provisions, codes, and precedents.