AI Agents not only answer questions, but can also break down targets, call external tools, and perform multiple steps in succession. This page aggregates agent products suitable for research, operations, development, and personal efficiency scenarios, comparing their autonomy, tool permissions, memory capabilities, manual verification mechanisms, and traceability after task failure.
MCP Servers is an open-source server aggregation platform focused on Model Context Protocol (MCP), bringing together thousands of official and community-built MCP servers covering databases, browser automation, cloud services, search engines, communications, file systems, and more. The platform supports seamless integration with AI clients such as Claude, Cursor, VS Code, and Windsurf, helping developers quickly access external tools and data sources for large language models (LLMs). MCP Servers provides standardized interfaces and tool discovery mechanisms, supports local deployment and remote calling, and is suitable for building RAG systems, AI assistants, automated workflows, and other application scenarios, significantly improving the scalability and collaboration efficiency of AI applications.
AIbase is an open-source MCP (Model Context Protocol) resource platform for developers and AI workers, bringing together more than 120,000 MCP server examples from around the world, covering maps (such as Baidu Maps), search (DuckDuckGo, Exa), data storage, browser automation (Playwright, BrowserTools), image and video processing, database connection (MongoDB, PostgreSQL, Supabase), Figma design access, and many other scenarios. The platform provides detailed classification, documentation, ratings, and standardized interface descriptions, and supports Chinese interfaces and community tutorials to facilitate users to search and deploy by tags. AIbase uses WebAssembly sandbox isolation to run MCP services to ensure security and stability, and supports click-and-click deployment between official and community servers, providing a one-stop solution for developers to quickly integrate multiple tool capabilities into AI Agent applications.
Smithery is a Model Context Protocol (MCP) server registration and management platform designed for large language models (LLMs) and agent systems. It offers over 200 open-source MCP tools across GitHub, Google Drive, Slack, PostgreSQL, and more, allowing users to easily integrate into Claude Desktop, Cursor, or custom proxy systems with a single line of code. Smithery supports both on-premises and hosted deployments, ensuring data security and flexibility, and offers a CLI installer and TypeScript SDK to simplify the development process. The platform is committed to accelerating the construction of an agent ecosystem and improving the scalability and utility of AI systems.
MCP-Get is a command-line tool designed specifically for developers, designed to simplify the process of discovering, installing, updating, and managing Model Context Protocol (MCP) servers. With MCP-Get, users can easily integrate large language models like Claude with external services, databases, and APIs, expanding the capabilities of their AI applications. The platform provides a rich MCP server catalog covering various application scenarios, supporting one-click installation and configuration, and improving development efficiency. MCP-Get is committed to building an open and collaborative MCP ecosystem, fostering interoperability and expanded capabilities of AI tools.
MCPDirs is a Model Context Protocol (MCP) server navigation platform designed for AI developers and agent systems, bringing together rich MCP server resources, covering database access, web scraping, security auditing, image generation, and other fields. Users can browse, search, and filter the MCP servers they need through an intuitive interface, and support sorting by category, label, and time to improve search efficiency. The platform also provides detailed server information, including feature introductions, usage guides, and deployment methods, making it easy for developers to quickly integrate into their AI applications. MCPDirs is committed to building an open and collaborative MCP ecosystem that fosters connectivity and expanded capabilities of AI tools.
Glama MCP is an AI tool integration platform focused on Model Context Protocol (MCP), offering over 5,000 open-source MCP servers covering various contextual services such as file access, database connections, API integration, and more. Users can search, compare, and connect to these servers through a unified interface, expanding the capabilities of AI models for richer contextual interactions. The platform supports a variety of clients and tools, making it suitable for building context-aware AI systems and is widely used in development, office automation, search engines, and data analysis. Glama MCP is committed to simplifying the integration process of AI with external tools and data sources, making AI applications more intelligent and automated.
MCP Server Hub is a platform focused on the discovery and integration of Model Context Protocol (MCP) servers, bringing together a variety of services contributed by the official and community. The platform supports multilingual tools, including databases (e.g., SQLite, PostgreSQL), version control (Git/GitHub/GitLab), browser automation (Puppeteer/Playwright), search (Brave, OpenAPI, ArXiv), and cloud services (Google Drive, Cloudflare, etc.). Users can filter by label, view documentation, deployment capabilities, and use cases to quickly find the right context extension tool for their AI projects. Hub also aggregates community innovation servers (e.g., NLP agent, Kubernetes management) and official implementations to provide developers with efficient and secure one-stop MCP service ecological support. The platform aims to accelerate the integration of AI applications with external resources through a unified catalog, building an open and collaborative MCP network.
Cursor MCP Directory is a Model Context Protocol (MCP) server integration platform designed for developers to extend the capabilities of Cursor AI Programming Assistant. Through this platform, users can install and configure various MCP servers with one click, enabling seamless connectivity with external tools and services such as database management, browser automation, API integration, and more. Cursor MCP Directory simplifies the discovery and deployment of MCP servers by providing an intuitive interface that allows for browsing and searching by category. Developers can also submit their own MCP servers to join the directory and expand the reach of their tools. The platform's launch marks a further openness and diversification of the AI programming assistant ecosystem, providing developers with more robust tool integration capabilities.
The Claude MCP Server Directory is a Model Context Protocol (MCP) server integration platform designed for AI developers and agent systems, designed to extend the capabilities of Claude AI Programming Assistant. Through this platform, users can install and configure various MCP servers with one click, enabling seamless connectivity with external tools and services such as database management, browser automation, API integration, and more. The Claude MCP Server Directory simplifies the discovery and deployment of MCP servers by providing an intuitive interface that allows for browsing and searching by category. Developers can also submit their own MCP servers to join the directory and expand the reach of their tools. The platform's launch marks a further openness and diversification of the AI programming assistant ecosystem, providing developers with more robust tool integration capabilities.
MCP Server Finder is a comprehensive MCP (Model Context Protocol) service catalog platform for developers and AI technicians. It brings together and categorizes more than 1,000 official and community-contributed MCP servers, including databases (e.g., PostgreSQL, MongoDB), browser automation, search engine interfaces, development tools, blockchains, productivity applications, and more. Each server comes with feature descriptions, integration tags, community reviews, and usage examples for quick browsing and comparison. The platform also offers granular filtering capabilities to help users find the most suitable MCP services by purpose, language, platform, and task type. With its vast resource library and structured indexes, MCP Server Finder provides efficient support for building AI applications with external tool connectivity, making it an important entry point for AI engineers to explore and implement AI-tool interaction.
Alibaba Cloud Bailian MCP Marketplace is an open tool marketplace for enterprises and developers, aiming to seamlessly connect large models with external resources through Model Context Protocol (MCP). The platform provides two methods: official hosting and community self-construction, and users can complete service activation or deployment in a few minutes without managing servers. The bazaar has now launched 15 official MCPs, including Alibaba Cloud CloudOps, and showcased 61 community contribution services, covering maps, databases, web crawling, office software and other functions. With the Serverless Function Computing Environment, users can complete the full lifecycle process of tool registration, permission configuration, and integration with AI Agent on the platform, greatly improving the efficiency of agent construction. Bailian MCP Market has built a unified, elastic, and secure MCP application ecosystem, which is an important infrastructure for promoting the efficient integration of AI tool ecosystems.
Composio MCP Servers is a comprehensive catalog of Model Context Protocol (MCP) servers designed to provide developers with a wealth of resources for AI tool integration. The platform includes more than 100 hosted MCP servers, covering major application services such as Gmail, Slack, Notion, GitHub, Salesforce, and more. Each server supports seamless connectivity with large language models (LLMs) through standardized interfaces, simplifying tool calling and context management. Composio provides intuitive browsing and search functions, making it easy for users to quickly find the server they need, and supports one-click integration into AI programming environments such as Claude and Cursor. The platform is dedicated to building an open and collaborative MCP ecosystem, fostering interoperability and expanded capabilities of AI tools.
mcp.run is a Model Context Protocol (MCP) tool platform for developers and AI users, designed to enable AI applications to quickly connect to external tools and services. Users can register and manage a variety of MCP "servlet" components on the platform, which run securely through the WebAssembly sandbox and can be shared across clients such as Claude Desktop, Cursor, and more. mcp.run supports user-built or officially hosted MCP servers, and can achieve single login and multi-scenario reuse through SSO configuration preset tool combinations (profiles), greatly simplifying the tool integration process. The platform provides HTTP-triggered tasks that allow users to define automated workflows in natural language, such as scraping data, sending reports, or collaborating on content, and call them through APIs or scheduling. mcp.run provides free basic credits (such as 1,000 task usages) and supports team collaboration and enterprise deployment, comprehensively covering the use cases of developing, running, and monitoring MCP toolchains, making it easy, secure, and efficient to build, share, and use AI toolsets.
The Baidu MCP (Model Context Protocol) platform is a standardized connection framework launched by Baidu Search AI Open Platform, designed to help large language models (LLMs) seamlessly integrate with external tools and data sources. Through unified protocol specifications, the platform enables AI models to call various external resources such as search engines, map services, file systems, and databases in a standardized manner, improving the practicability and scalability of the model. Developers can access a large number of available MCP Servers through MCP Plaza, covering multiple fields such as search, map, and file management, and support one-click access and rapid deployment. In addition, as the first large model platform in China to support the MCP protocol, Baidu Intelligent Cloud Qianfan Platform provides complete tool development and service integration capabilities to help developers efficiently build intelligent applications.
PulseMCP is an open-source ecosystem platform focused on Model Context Protocol (MCP), bringing together over 4,500 MCP servers and nearly 300 MCP clients, covering various AI tools such as database access, browser automation, file system operations, time processing, design tool integration, and more. The platform provides unified search, filtering, and integration capabilities to enable developers to quickly discover and connect to the MCP services they need. PulseMCP also provides official SDKs (TypeScript, Python, Java, Kotlin) and documentation to help developers build and deploy MCP-compliant AI applications. Through standardized protocols, PulseMCP aims to enhance the scalability and collaboration efficiency of AI systems, facilitating seamless integration of AI with external tools and data sources.
Portkey MCP Servers is a comprehensive catalog of Model Context Protocol (MCP) servers designed to provide developers with a wealth of resources for AI tool integration. The platform includes more than 40 MCP servers, covering data storage, cloud infrastructure, development tools, content search, AI memory, productivity applications, and more. Each server supports seamless connectivity with large language models (LLMs) through standardized interfaces, simplifying tool calling and context management. Portkey provides intuitive browsing and search functions, making it easy for users to quickly find the server they need, and supports one-click integration into AI programming environments such as Claude and Cursor. The platform is dedicated to building an open and collaborative MCP ecosystem, fostering interoperability and expanded capabilities of AI tools.
ModelScope MCP is a model contextual protocol platform launched by the Alibaba Cloud Magic Community, aiming to establish a standardized connection interface between large language models (LLMs) and external tools and data sources. The platform enables AI models to access and call external services such as search engines, maps, file systems, etc. in a unified manner through the MCP protocol, enhancing the utility and scalability of the model. Currently, ModelScope MCP has launched nearly 1,500 MCP services, covering many popular fields such as search, maps, file systems, and developer tools. The platform also provides an MCP lab to support developers to quickly test and integrate MCP services, lowering the development threshold and accelerating the construction and deployment of AI applications.
Lovart is the world's first design AI agent platform, dedicated to transforming users' creative ideas into professional-grade visual design works through natural language interaction. The platform integrates a variety of advanced AI models to support the generation of images, videos, and music, covering various design needs such as brand visuals, advertising posters, UI interfaces, storyboards, and brand kits. Users only need to use simple text descriptions, and Lovart can automatically parse the task, select the appropriate tool, coordinate the entire design process, and generate high-quality visual results. The platform offers three modes of operation: Talk (natural language input), Tab (design option browsing), and Tune (detail adjustment), allowing users to complete the entire design process from idea to finished product on a seamless canvas. In addition, Lovart supports output in multiple formats, is compatible with mainstream design tools such as Photoshop and Figma, and is suitable for various scenarios such as brand design, marketing campaigns, and dynamic content creation, helping users efficiently implement their ideas.
Fish Audio is an advanced AI speech synthesis and cloning platform that offers high-quality text-to-speech (TTS) and voice cloning services. Users only need to provide 30 seconds of clear voice samples to quickly create personalized AI voice models that support multilingual and cross-language generation. The platform has more than 200,000 built-in sound models, suitable for various scenarios such as advertising dubbing, audiobooks, podcasts, and educational content. Fish Audio supports API integration and offers both free and paid plans, catering to the diverse needs of both individual creators and business users. Its open-source project, Fish-Speech, ranked first in the TTS-Arena2 evaluation, demonstrating exceptional speech synthesis capabilities and stability.
OpenVoiceOS (OVOS) is a community-driven, open-source voice AI platform designed to create custom voice-controlled interfaces for various devices. The platform emphasizes privacy and security, allowing users to process voice data locally and avoid sending sensitive information to the cloud, enhancing data protection. OVOS supports a wide range of hardware platforms, including Raspberry Pi, Mycroft devices, and Linux desktops and laptops, for embedded systems and low-profile devices. Its modular architecture includes components such as ovos-core, ovos-listener, and ovos-messagebus, and supports plug-in speech recognition (STT) and text-to-speech (TTS) engines, allowing users to choose the appropriate plug-in according to their needs. OVOS also provides a wealth of developer tools and documentation to facilitate developers to create and deploy custom voice applications. As a continuation of the Mycroft project, OpenVoiceOS is committed to providing a voice assistant solution that is transparent, customizable, and respects user privacy.
UiPath is a leading global enterprise automation software company focused on providing robotic process automation (RPA) and AI-powered "Agentic Automation" platforms to help organizations automate business processes efficiently. Its core products include UiPath Studio (a low-code process builder), Robots (robots that perform automated tasks), and Orchestrator (a centralized management and monitoring platform). UiPath's platform supports automated deployment from desktop to cloud, integrating AI agents, process mining, document understanding, and more, making it suitable for various industries such as finance, healthcare, manufacturing, public sector, and more. By combining AI and automation technologies, UiPath aims to enhance operational efficiency and employee experience.
n8n is an open-source workflow automation platform that combines visual build with code flexibility and supports over 500 application integrations. Users can create multi-step automated processes through drag-and-drop interfaces or JavaScript/Python scripts, suitable for IT operations, security response, sales analysis, and other scenarios. n8n has built-in AI capabilities that support the construction of LLM-based agent systems for natural language processing, data extraction, and automated decision-making. The platform offers self-hosted and cloud deployment options, ensuring data security and compliance. With its strong scalability and active community support, n8n is an ideal choice for technology teams to achieve efficient automation.
ZelinAI is an enterprise-level AI middle platform built by Zelin Times, providing zero-code agent creation, corpus training, and multi-model integration capabilities, and supports one-click deployment and custom API access for various enterprise group chat robots such as WeChat, DingTalk, and Feishu. The platform is compatible with mainstream large models such as Baidu Wenxin, iFLYTEK Spark, and Microsoft GPT, and has comprehensive content review, security compliance, and hybrid deployment solutions to help organizations quickly get started with AI applications and achieve cost reduction and efficiency increase in scenarios such as intelligent customer service, knowledge base, and business automation.
Microsoft 365 Copilot is Microsoft's enterprise-grade AI assistant integrated into Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams, designed to enhance productivity and creativity. By combining large language models (such as GPT-4o) with Microsoft Graph data, Copilot can automatically write documents, analyze data, generate presentations, draft emails, and summarize meeting content based on the user's natural language instructions. Copilot Chat offers free AI chat features that support file uploads and web page information integration, while Copilot Studio allows businesses to create custom AI agents to automate business processes. Microsoft 365 Copilot emphasizes enterprise-grade security, privacy, and compliance for individual users, small businesses, and large enterprises to enable digital transformation.