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Explore all analyzed open source repositories
claude-plugins-official: The Official Directory for Claude Code Plugins
claude-plugins-official is Anthropic's official repository for high-quality Claude Code Plugins. It provides a curated directory of both internal and third-party plugins, enabling users to extend Claude's capabilities. This repository serves as the central hub for discovering and installing powerful tools for Claude Code.
MongoDB MCP Server: Connect to MongoDB and Atlas with Model Context Protocol
The MongoDB MCP Server is a Model Context Protocol server designed to facilitate interaction with MongoDB databases and MongoDB Atlas clusters. It provides a standardized way for clients to access and manage MongoDB data and Atlas resources, supporting a wide range of database and Atlas-specific tools.
Context7 Platform: Up-to-date Code Documentation for LLMs and AI Editors
Context7 Platform provides up-to-date, version-specific code documentation directly to LLMs and AI code editors. It eliminates outdated information and hallucinated APIs, ensuring accurate and relevant code generation. This tool significantly enhances the capabilities of AI coding assistants by integrating real-time documentation into their context.
OpenDia: Seamless AI Browser Automation for Enhanced Productivity
OpenDia empowers AI models to control your browser, leveraging your existing digital life without switching contexts. This open-source browser extension works across Chrome, Firefox, and other Chromium browsers, enabling powerful automation for tasks like content creation, research, and development testing. Prioritizing privacy, OpenDia ensures all operations run locally, keeping your data secure.
mcp-atlassian: AI-Powered Interaction with Atlassian Tools
mcp-atlassian is a Model Context Protocol (MCP) server designed to integrate AI assistants with Atlassian products like Confluence and Jira. It enables AI to perform actions such as searching, creating, and updating tickets or pages, supporting both Cloud and Server/Data Center deployments. This tool streamlines workflows by allowing natural language interaction with your Atlassian ecosystem.
alsoasked-mcp: An MCP Server for AlsoAsked API and SEO Keyword Research
The alsoasked-mcp project provides a Model Context Protocol (MCP) server that integrates with the AlsoAsked API. This server allows users to access Google's "People Also Ask" data, making it a valuable tool for SEO research and content optimization. It offers features like searching PAA questions, managing API accounts, and flexible search options.
Inspector: The Ultimate Tool for Developing MCP and ChatGPT Apps
MCPJam Inspector is a powerful local development client designed for testing and debugging MCP servers, ChatGPT apps, and MCP ext-apps. It provides a comprehensive suite of tools, including a widget emulator, OAuth debugger, and LLM playground, enabling developers to rapidly iterate on their projects without needing external services like ngrok or a ChatGPT subscription.
mcpo: A Simple, Secure MCP-to-OpenAPI Proxy Server
mcpo is a dead-simple proxy server that transforms any Model Context Protocol (MCP) tool into an OpenAPI-compatible HTTP server. This allows seamless integration of MCP tools with LLM agents and applications that expect standard RESTful OpenAPI interfaces, eliminating the need for custom protocols or complex glue code. It enhances security, stability, and interoperability for AI tools, making them instantly usable with modern web standards.
mcp-ui: Building Interactive UIs for AI with Model Context Protocol
mcp-ui is an SDK that enables the creation of rich, interactive user interfaces for AI tools, built on the Model Context Protocol (MCP). It standardizes UI delivery over the protocol, allowing developers to craft next-gen UI experiences. This project provides client and server SDKs in multiple languages, making it easier to integrate dynamic UIs into AI applications.
awslabs/mcp: Enhance AI Assistants with AWS Model Context Protocol Servers
The awslabs/mcp repository offers a suite of specialized Model Context Protocol (MCP) servers designed to help users maximize their AWS experience. These servers enable seamless integration between Large Language Model (LLM) applications and various AWS services, providing AI assistants with real-time access to documentation, contextual guidance, and best practices. This enhances the quality and accuracy of AI-generated outputs for cloud development and operations.
Figma-Context-MCP: Bridging Figma Designs with AI Coding Agents
Figma-Context-MCP is an innovative Model Context Protocol (MCP) server designed to provide Figma layout information directly to AI coding agents like Cursor. This tool significantly enhances the accuracy of AI in implementing designs by offering relevant metadata, enabling one-shot design implementation across various frameworks. It streamlines the design-to-code workflow, making AI-powered development more efficient and precise.
mcp-server-chart: Empowering Chart Generation and Data Analysis with AntV
mcp-server-chart is a powerful Model Context Protocol (MCP) server from AntV, specializing in chart generation and data analysis. It provides over 25 diverse chart types, enabling users to create rich visualizations through various MCP tools and integrations. This TypeScript-based solution simplifies complex data representation, making it accessible for a wide range of analytical needs, including LLM-powered applications.