# MCP Protocol

An MCP server designed for integrating Shopify and LLM agents, providing functions such as order processing, logistics tracking, archiving, and querying.

The Bitbucket Pipelines MCP Server is a service that implements the Model Context Protocol and provides tools for interacting with Bitbucket Pipelines, supporting listing, triggering, querying, and stopping Pipelines.

The MSSQL MCP Server is a secure MCP protocol server for structured interaction with Microsoft SQL Server databases, supporting table queries and SQL execution.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

An MCP server implementation based on Postmark for sending emails through the Postmark service, supporting template emails, email statistics, and other functions.

An information security management system integrating AI, implementing intelligent security analysis using the MCP protocol.

An MCP server collection project for learning and experimentation, exploring different implementation methods and protocol capabilities

An MCP server integrated with the Lark/Feishu API, enabling LLMs to interact with Lark services.

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.

The Alibaba Cloud Function Compute MCP Server project supports integrating Function Compute capabilities into proxy applications such as Cursor and Claude through the MCP protocol, providing rapid deployment and management functions.

Filesys is a file system server based on the MCP protocol that allows LLM agents to conveniently read, write, and list local files via Python.

The HDW MCP Server is a service based on the Model Context Protocol (MCP), providing comprehensive access to LinkedIn data and functions, including user search, profile query, email search, post management, account management, and other functions.

This project uses advanced AI prompting techniques to enable an AI agent (based on Google Gemini model) to interact with the legacy Windows application MSPaint through the Model Context Protocol (MCP) to solve complex math problems and draw solutions on the canvas.

An MCP service based on Beancount, supporting ledger query execution and transaction submission

The SuperCollider MCP Server is an MCP protocol service designed for the SuperCollider programming language, supporting the execution of synthesizers through supercolliderjs.

Jotdown is an MCP server that supports the integration of LLM with Notion and the generation of mdBooks, providing content management and publishing workflows.

Obtain the user's geolocation through EdgeOne Pages Functions and integrate it with large models

The QuickBase MCP Server is a Model Context Protocol service that provides comprehensive QuickBase operation functions, supporting application management, table operations, field management, record operations, and relationship management. It enables flexible data operations through MCP tools.

Neo4j MCP server implementation that manages graph database operations through the Model Context Protocol, is compatible with Cursor and Claude Desktop, and supports Cypher query execution.

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

An MCP server project implemented in TypeScript based on FastMCP, used to interact with Telegram via the MTProto protocol and provide tool support for AI models.

A server project implementing the MCP protocol, providing a note storage system and summary generation function

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.

An MCP protocol implementation based on Node.js, providing secure shell command execution services

A weather information MCP server based on TypeScript, providing access to weather data resources, tools for obtaining and updating weather information, and the function of generating weather summaries.

Beanquery MCP is an experimental implementation of the Model Context Protocol (MCP) server for interacting with Beancount ledger files, enabling querying and analysis of financial data through the BQL query language and the beanquery tool.

The Hypernym MCP Server provides semantic text analysis and compression tools through the standard MCP interface, helping LLMs access advanced semantic classification and compression functions.

CData's Shopify MCP Server project exposes Shopify data in a relational SQL model through the JDBC driver, building a read-only MCP server that enables LLMs to query real-time data using natural language.

A command-line interaction tool for MCP servers