The Excalidraw MCP Server provides a powerful API for creating, modifying, querying, and manipulating Excalidraw diagrams. It integrates seamlessly with LLMs like Claude Desktop, offering features such as element control, resource management, and advanced manipulation tools. The server supports Docker for easy deployment and is designed for developers looking to integrate drawing capabilities into their applications.

This MCP server implementation bridges AI assistants with the Linear project management system, allowing users to retrieve, create, and update issues, projects, and teams through natural language commands. It supports features like issue status changes, team assignments, and comments, enhancing productivity and integration with AI workflows.

The AWS MCP Server bridges MCP-aware AI assistants (e.g., Claude, Cursor) with AWS CLI, allowing them to retrieve AWS CLI documentation and execute commands in a secure, containerized environment. It supports Docker deployment, multi-architecture builds, and pre-defined prompt templates for common AWS tasks, enhancing cloud infrastructure management.

The Figma MCP Server offers a complete set of Figma API methods, enabling seamless interaction with Figma files, components, styles, and webhooks. It supports various functionalities such as retrieving files, managing comments, and creating webhooks. The server is designed to integrate with tools like Claude Desktop and can be installed via Smithery or manually using Node.js.

The MCP Chat Client is an open-source tool designed to test and evaluate MCP servers and agents. It supports interactive command-line and web-based chat interfaces, allowing users to connect to various MCP servers (JS, Python, Docker) and interact with LLMs like Claude. Features include customizable system prompts, chat history saving, and dynamic server configuration via the web UI.

The Gitee MCP Server is a specialized implementation of the Model Context Protocol (MCP) designed to interact with Gitee's API. It provides tools for AI assistants to manage repositories, issues, pull requests, and notifications. The server supports configurable API base URLs, command-line flags for easy setup, and operations for personal, organizational, and enterprise use cases.

This MCP Server facilitates seamless integration between Claude and various database systems, including SQLite, PostgreSQL, SQL Server, and MongoDB. It supports both SSE (Server-Sent Events) and STDIO modes, allowing users to execute queries, explore database schemas, and manage data directly through Claude. The server is designed to enhance Claude's capabilities by providing robust database interaction tools.

This project implements a Model Context Protocol (MCP) server to facilitate interaction between HackMD's note-taking platform and AI assistants. It enables operations such as managing user information, creating and updating notes, and working with team notes. The server is designed to be easily integrated with AI tools like Claude Desktop, providing a seamless way to manage HackMD notes programmatically.

VeyraX MCP (Model Context Protocol) is an open protocol designed to streamline tool integration for agentic LLMs. It allows users to connect once to the VeyraX platform and access all their tools in any MCP-compatible environment, such as Claude, Cursor, VS Code, or Windserf, without needing multiple authentications. The platform offers instant access to tools, single authentication, and a quick 5-minute setup process, making it a hassle-free solution for developers and AI enthusiasts.

The IDA Pro MCP Server bridges AI assistants with IDA Pro, a popular disassembler and debugger, to facilitate reverse engineering and binary analysis. It includes an IDA Pro Remote Control Plugin, a TypeScript client, and an MCP server to expose IDA Pro functionality to AI assistants. Features include executing Python scripts, retrieving binary information, and automating IDA Pro operations through a standardized interface.

This project implements a Dify plugin that allows Dify workflows to be exposed via the Model Context Protocol (MCP) to AI clients such as Claude Desktop and Cursor. It enables AI clients to discover and use Dify workflows as tools, integrating them seamlessly into AI assistants without modifying the workflows. The plugin supports MCP's JSON-RPC interface, automatic tool discovery, secure SSE connections, and server-side session management.

The iFlytek Workflow MCP Server is designed to facilitate the integration of iFlytek workflows using the Model Context Protocol (MCP). It provides a standardized framework for seamless interaction between LLM applications and external data sources or tools. The server supports advanced orchestration modes, robust node support, and multiple development paradigms, making it suitable for various business scenarios.