Top AI Tools Ranking
Daily-updated AI tool popularity ranking based on views and favorites.
Claude 3.5 Sonnet
Anthropic's most intelligent model to date, excelling in coding and reasoning.
GPT-4o
OpenAI's flagship multimodal model, balancing speed and intelligence.
DeepSeek-R1
DeepSeek's first reasoning model, matching OpenAI's o1-preview performance in math and coding with transparent thinking processes.
DeepSeek-V3.2
The latest 685B flagship MoE model from DeepSeek (Dec 2025), significantly improving inference efficiency and reasoning depth.
Qwen 3
Alibaba Cloud's 2026 flagship model series, featuring the massive Qwen2.5-Max with over 1 trillion parameters via MoE.
Llama 3.3 70B
Meta's professional-grade 70B model matching GPT-4 class performance while remaining highly efficient for local deployment.
Midjourney
The leading AI art generation tool, turning your imagination into visual masterpieces.
Memory MCP
A powerful graph-based memory server that enables AI models to maintain long-term persistent memory across multiple sessions. It uses a graph structure to store entities, relationships, and observations, allowing the AI to remember facts about users, projects, and preferences. This server is essential for building AI agents that learn and evolve over time.
Filesystem MCP
The official Filesystem MCP server provides secure and controlled access to your local files. It allows AI models to read, write, search, and manage files within specific directories you authorize. With features like file content retrieval, directory listing, and metadata inspection, it's a core tool for developers using AI for code analysis and data processing.
GitHub MCP
The GitHub MCP server integrates your AI assistant directly with the GitHub ecosystem. It enables tools for managing repositories, tracking issues, reviewing pull requests, and searching through code. Whether you're automating project management or seeking AI help for code reviews, this server provides the necessary interface to interact with GitHub's REST and GraphQL APIs.
Google Search MCP
Empower your AI with real-time web search capabilities using the Google Search MCP server. This server allows models to perform queries, retrieve search results, and browse web snippets to stay updated with the latest information. It's a crucial component for any AI assistant that needs to provide accurate, up-to-date answers beyond its training data.
Google Maps MCP
Integrate powerful geospatial capabilities into your AI workflows with the Google Maps MCP server. This official server provides access to location search, place details, distance calculations, and directions. It enables AI models to understand geographic context, find local businesses, and plan routes with precision using Google's world-class mapping data.
Google Calendar MCP
The Google Calendar MCP server allows your AI assistant to manage your schedule with ease. It provides tools for listing upcoming events, creating new appointments, and updating existing ones. Perfect for AI-driven personal assistants that need to handle time-sensitive coordination and schedule management across different time zones.
Google Drive MCP
Connect your AI to the cloud with the Google Drive MCP server. This official server enables models to browse file structures, read document contents, and manage files in Google Drive. It supports various file formats and provides the necessary tools for AI-driven document analysis, file organization, and cloud storage management.
Slack MCP
The Slack MCP server connects your AI assistant to your team's communication hub. It allows AI models to read channel messages, post updates, search through conversation history, and manage users. This integration is perfect for building AI-powered Slack bots that can summarize discussions, answer team questions, or automate routine communication tasks.
PostgreSQL MCP
Manage and query your PostgreSQL databases directly through your AI assistant. The official PostgreSQL MCP server provides tools for executing SQL queries, inspecting table schemas, and managing database records. It's an essential tool for developers and data analysts who want to use AI for database management and data exploration.
SQLite MCP
The official SQLite MCP server enables AI models to interact with local SQLite databases. It provides a simple and effective way to query data, manage tables, and perform database operations without leaving your AI chat environment. Ideal for local application development and personal data management projects.
Puppeteer MCP
Bring full browser automation to your AI workflows with the Puppeteer MCP server. It allows AI models to navigate websites, interact with web elements, take screenshots, and extract data from complex web applications. This is a powerful tool for web scraping, automated testing, and interacting with sites that require JavaScript execution.
Fetch MCP
The Fetch MCP server is optimized for retrieving web content and converting it into clean, LLM-friendly formats. It simplifies the process of feeding web data into your AI models by handling content extraction, cleaning, and formatting. It's a key tool for building RAG systems and AI assistants that need to process web-based knowledge.
Sequential Thinking MCP
Enhance your AI's reasoning capabilities with the Sequential Thinking MCP server. This tool provides a structured framework for step-by-step problem-solving, allowing models to break down complex tasks into logical sequences. It helps in maintaining clarity and consistency during long reasoning processes, making it ideal for coding, planning, and analytical tasks.
Sentry MCP
Integrate Sentry's powerful error tracking and performance monitoring into your AI-assisted development workflow. The official Sentry MCP server allows models to retrieve issue details, analyze stack traces, and manage error reports. This enables AI assistants to help debug applications faster by providing direct access to real-time error data.
Cloudflare MCP
Manage your Cloudflare infrastructure directly through your AI assistant. The official Cloudflare MCP server provides tools for managing DNS records, Workers, KV storage, and other edge services. It's a powerful tool for DevOps automation and managing cloud resources using natural language commands.
Azure MCP
The official Microsoft Azure MCP server provides comprehensive tools for managing Azure cloud resources through AI. It enables models to interact with Azure services, monitor resource health, and automate infrastructure management tasks. This is an essential tool for developers and DevOps engineers who use Azure for their cloud infrastructure and want to leverage AI for better efficiency.
Microsoft 365 MCP
The official Microsoft 365 MCP server enables AI models to interact with M365 services including Outlook, OneDrive, and SharePoint. It provides tools to manage emails, files, and calendar events within the M365 ecosystem. This server is perfect for building AI-powered personal assistants that need to integrate deeply with enterprise productivity tools.
Microsoft Docs MCP
The official Microsoft Docs MCP server provides real-time access to Microsoft's extensive technical documentation. It allows AI models to search for and retrieve information about Azure, Windows, .NET, and other Microsoft technologies. This is a crucial tool for developers who need accurate and up-to-date technical guidance directly within their AI workflows.
Docker MCP
The official Docker MCP server enables AI models to manage Docker environments directly. It provides tools to list, start, stop, and inspect containers, as well as manage images and volumes. This integration is essential for developers and DevOps engineers who want to use AI to automate container orchestration and local development workflows.
Kubernetes MCP
The official Kubernetes MCP server enables AI models to interact with Kubernetes clusters directly. It provides tools to manage pods, deployments, services, and other cluster resources. This integration is essential for DevOps engineers and developers who want to use AI to automate cluster management, troubleshoot issues, and monitor application health.
MongoDB MCP
The official MongoDB MCP server allows AI models to query and manage MongoDB databases. It provides tools for executing aggregation pipelines, managing collections, and performing CRUD operations on documents. This is a vital tool for developers and data scientists who want to use AI for flexible, document-based data management and exploration.
Redis MCP
The official Redis MCP server enables AI models to interact with Redis key-value stores. It provides tools for managing keys, executing Redis commands, and monitoring cache performance. This integration is essential for developers who want to use AI to manage application state, cache data, and automate real-time data processing with Redis.
Wikipedia MCP
The Wikipedia MCP server provides AI models with the ability to search and retrieve information from the world's largest encyclopedia. It allows models to search for articles, retrieve page summaries, and access detailed content from Wikipedia. This is an invaluable tool for AI assistants that need to provide factual information and background knowledge to users.
Brave Search MCP
The official Brave Search MCP server enables AI models to perform web searches using the Brave Search API. It provides tools for web search, local search, and retrieving detailed results. This is a privacy-focused alternative for AI assistants that need to access real-time information and browse the web securely.
Notion MCP
The official Notion MCP server enables AI models to interact with Notion workspaces. It provides tools for searching pages, reading page contents, and managing database entries. This integration is ideal for AI-driven personal knowledge management, team collaboration, and automated documentation workflows.
Obsidian MCP
The official Obsidian MCP server allows AI models to interact with local Obsidian vaults. It provides tools to read, search, and update your markdown notes directly. This integration enables building AI assistants that can reference your personal knowledge base, summarize notes, and help organize your digital thoughts locally.
Raycast MCP
The Raycast MCP server allows AI models to interact with Raycast's powerful ecosystem of extensions and tools. It enables models to search the Raycast Store, trigger extension commands, and manage your local Raycast configuration. This is a must-have for Raycast users who want to bridge the gap between their AI assistant and their favorite productivity tools.
Home Assistant MCP
The Home Assistant MCP server allows AI models to control and monitor your smart home devices through the Home Assistant platform. It enables models to query device states, trigger automations, and manage lights, thermostats, and other IoT devices. This is a powerful tool for building AI-driven home automation and voice control systems.
Stock Market MCP
The Stock Market MCP server provides AI models with real-time access to global financial markets. It allows models to retrieve live stock quotes, historical price data, and company financial information. This is a crucial tool for building AI-driven financial advisors, market analysis tools, and personalized investment assistants.
Supabase MCP
Official Supabase MCP server for interacting with Supabase projects, databases, and edge functions.
Airtable MCP
The official Airtable MCP server allows AI models to interact with Airtable bases. It provides tools to list bases, retrieve table schemas, and perform CRUD operations on records. This integration enables building AI assistants that can manage data in Airtable, automate workflows, and provide insights from structured data.
GitLab MCP
The official GitLab MCP server provides integration with GitLab's project management and source control features. It allows AI models to manage issues, merge requests, and repository content. This tool is essential for teams using GitLab for their DevOps lifecycle and looking to enhance productivity through AI automation.
Firecrawl MCP
The official Firecrawl MCP server provides advanced web crawling and data extraction capabilities optimized for LLMs. It converts web pages into clean, structured Markdown or JSON, making it easy for AI models to process web-based information. Firecrawl is a powerful tool for building knowledge bases and RAG systems from web content.
Jina AI MCP
The official Jina AI MCP server provides advanced search and information retrieval capabilities for AI models. It includes tools for web search, re-ranking search results, and extracting clean content from URLs. Jina AI is a key component for building highly accurate search-driven AI assistants.
MiniMax MCP
The official MiniMax MCP server brings advanced AI media generation capabilities to your workflows. It allows models to generate high-quality text-to-speech, images, and videos. MiniMax is a powerful tool for creators and developers looking to integrate state-of-the-art generative AI into their applications.
Baidu Maps MCP
The official Baidu Maps MCP server provides powerful geospatial and mapping capabilities specifically for the Chinese market. It allows AI models to search for locations, get place details, and plan routes using Baidu's extensive mapping data. This is an essential tool for AI assistants operating in China or requiring precise Chinese geographic information.
Stripe MCP
Official Stripe MCP server for managing customers, payments, and subscriptions.
Miro MCP
The official Miro MCP server enables AI models to interact with Miro's online collaborative whiteboards. It provides tools for creating widgets, managing board content, and facilitating team brainstorming sessions. This integration is perfect for AI-assisted project planning, design thinking, and collaborative visual workflows.
Kaggle MCP
The official Kaggle MCP server enables AI models to interact with Kaggle's data science platform. It allows models to list competitions, download datasets, and submit predictions directly. This tool is essential for data scientists and ML engineers who want to streamline their Kaggle workflows and leverage AI for better data analysis and competition management.
Auth0 MCP
The official Auth0 MCP server provides robust identity and access management (IAM) capabilities for AI applications. It allows models to manage users, configure authentication flows, and monitor security events within the Auth0 platform. This is a critical tool for developers building secure, AI-driven applications with enterprise-grade identity management.
Jenkins MCP
The official Jenkins MCP server enables AI models to interact with Jenkins CI/CD pipelines. It provides tools for listing jobs, triggering builds, and retrieving build logs. This integration helps teams automate their development workflows and monitor build statuses through natural language commands.
JetBrains MCP
The official JetBrains MCP server enables deep integration between AI models and JetBrains IDEs like IntelliJ IDEA, PyCharm, and WebStorm. It provides tools for code navigation, project structure analysis, and automated refactoring. This is a must-have for developers looking to enhance their coding efficiency using AI within their favorite JetBrains environment.
Gitee MCP
The official Gitee MCP server brings your AI assistant to the Gitee ecosystem, the leading code hosting platform in China. It enables models to manage repositories, track issues, and collaborate on code within Gitee. This is a crucial tool for developers and teams in China who use Gitee for their source control and project management.