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Context7
Remote
Discover Context7 MCP, a powerful tool that injects fresh, version-specific code docs and examples from official sources directly into your AI prompts. Say goodbye to outdated or incorrect API info—Context7 ensures your language model answers come with the latest coding references. By simply adding "use context7" to your prompt, you get precise, reliable library documentation and working code snippets without leaving your editor. Designed for smooth integration with many MCP-compatible clients and IDEs, it enhances AI coding assistants with accurate, real-time context that boosts developer productivity and confidence.
Playwright Browser Automation
Experience fast, deterministic browser automation with Playwright MCP, a Model Context Protocol server that enables language models to interact with web pages using structured accessibility snapshots instead of images. It provides LLM-friendly automation without relying on vision models, enhancing reliability and speed. Playwright MCP supports diverse browser interactions such as clicking, typing, navigation, file uploads, and tab management. It offers modes optimized for accessibility snapshots or visual screenshots and supports persistent or isolated user profiles. Configurable with rich options, it empowers developers and AI agents to automate complex web tasks efficiently and precisely.
Notion
Remote
Unlock powerful AI-driven interactions with Notion data using our MCP server tailored for the Notion API. This project enables advanced AI agents to efficiently read, comment, and organize Notion content while optimizing token use. It supports key operations like searching, page creation, and content retrieval, allowing seamless natural language commands to manage your workspace. Designed with security in mind, it provides scoped access options to protect your data. Ideal for developers building intelligent applications that integrate deeply with Notion, it simplifies complex tasks and enhances productivity through AI automation.
Task Master
Task Master is an AI-powered task management system designed for development projects using Claude and Cursor AI. It helps break down product requirements into clear, manageable tasks, supports multiple AI models for main, research, and fallback roles, and enables seamless task planning, implementation, and research within your editor environment. With support for Claude Code CLI and integration across popular editors, Task Master streamlines project workflows by guiding you through parsing PRDs, generating tasks, and staying updated with best practices - all while enhancing productivity in AI-driven software development.
Jira
Remote
Integrates Jira's project management capabilities with AI systems to automate tasks, track progress, and streamline development workflows.
Firecrawl
Unlock powerful web data extraction with Firecrawl, turning any website into clean markdown or structured data. Firecrawl lets you crawl all accessible pages, scrape content in multiple formats, and extract structured data using AI-driven prompts and schemas. Its advanced features handle dynamic content, proxies, anti-bot measures, and media parsing, ensuring reliable and customizable data output. Whether mapping site URLs or batch scraping thousands of pages asynchronously, Firecrawl streamlines data gathering for AI applications, research, or automation with simple API calls and SDK support across multiple languages. Empower your projects with high-quality, LLM-ready web data.
GitHub
Remote
Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.
Sequential Thinking
Implements a structured sequential thinking process for breaking down complex problems, iteratively refining solutions, and exploring multiple reasoning paths. An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
Puppeteer
A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
Brave Search
Integrate web search and local search capabilities with Brave. Brave Search allows you to seamlessly integrate Brave Search functionality into AI assistants like Claude. By implementing a Model Context Protocol (MCP) server, it enables the AI to leverage Brave Search's web search and local business search capabilities. It provides tools for both general web searches and specific local searches, enhancing the AI assistant's ability to provide relevant and up-to-date information.
Figma Context
Unlock seamless design-to-code with Framelink Figma MCP Server, letting AI coding tools access your Figma files directly. It simplifies Figma API data to supply only relevant design layouts and styles, boosting AI accuracy in implementing designs across frameworks. Specifically built for use with tools like Cursor, it transforms design metadata into precise code in one step. This server streamlines the workflow by providing clean, focused context, enabling faster and more reliable design-driven development. Enjoy a powerful bridge between design and coding that enhances productivity and code quality with minimal fuss.
DuckDuckGo
Experience fast and reliable DuckDuckGo web search with this TypeScript MCP server. It offers a simple search interface supporting customizable queries, result counts, and safe search levels. Built-in rate limiting ensures fair usage with up to 1 request per second and 15,000 per month. The server returns well-formatted Markdown results, making it easy to integrate and display search data. Designed to demonstrate core Model Context Protocol concepts, it also includes helpful debugging tools to inspect communication. Perfect for developers wanting seamless DuckDuckGo integration via MCP with efficient error handling and robust controls.
Microsoft Docs
Remote
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Confluence
Remote
Integrates with Atlassian Confluence to enable direct querying and retrieval of wiki content using CQL (Confluence Query Language) for seamless documentation access within conversations.
Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.
TaskManager
Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.
Knowledge Graph Memory
Build and query persistent semantic networks for data management. A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
Desktop Commander
Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.
Exa Search
Empower AI assistants like Claude with real-time web data using the Exa MCP Server. This Model Context Protocol server connects AI models to the Exa AI Search API, enabling safe, up-to-date web searches across diverse tools such as academic papers, company data, LinkedIn, Wikipedia, GitHub, and more. Its flexible toolset enhances research, competitor analysis, and content extraction, providing comprehensive information for smarter AI interactions. Designed for seamless integration with Claude Desktop, the Exa MCP Server boosts AI capabilities by delivering fast, reliable, and controlled access to the latest online information.
Excel
Unlock powerful Excel automation with this MCP server that reads and writes Excel files effortlessly. It supports text, formulas, sheet creation, and works with XLSX, XLSM, XLTX, and XLTM formats. Windows users benefit from live editing and screen capture features. The server offers tools to describe sheets, read cell ranges with pagination, write values or formulas, create tables, and copy sheets. Configurable paging limits help manage large data efficiently. Designed for seamless Excel data manipulation, it enhances workflow automation and integration with other systems through the Model Context Protocol.