AI developer tools cover model calls, code assistance, debugging and testing, data processing, deployment monitoring, and application integration. Here, the focus is on whether you can enter the real engineering chain, including SDK quality, version management, observability, permission configuration, cost control, and compatibility with the existing technology stack.
MCP Server Hub
MCP Toolset
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
MCP Toolset
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.
Claude MCP
MCP Toolset
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
MCP Toolset
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
MCP Toolset
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
MCP Toolset
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
MCP Toolset
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.
Baidu MCP
MCP Toolset
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
MCP Toolset
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.
MCP Servers Hunt
MCP Toolset
MCP Servers Hunt is a discovery platform that brings together and showcases high-quality Model Context Protocol (MCP) servers, similar to the "Product Hunt" of AI. It lists several examples of MCP services from official and community sources, including different types of integrations like Cloudflare, Raygun, Neon, Tinybird, Spotify, MySQL, BigQuery, Playwright, AWS, and more. Users can browse through lists, filter features, and performance metrics through intuitive pages, quickly selecting the MCP service that suits their AI application needs. The platform simplifies the process from discovery and deployment to using MCP tools, providing a one-stop entry point for MCP server resources for developers, system administrators, and tech enthusiasts, helping to accelerate the connection and efficiency of AI to external resources.
Portkey MCP
MCP Toolset
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
MCP Toolset
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.
21st.dev
MCP Toolset
21st.dev is a UI component discovery and management platform built for front-end design and development teams, integrating AI intelligent agents to retrieve and import high-quality components in mainstream IDEs with one click. Users can browse, share, replicate, and customize open-source components with real-time preview and version control to help unify team visual style and development specifications. The platform provides comprehensive API interfaces and Magic MCP functions, supporting batch generation, parametric customization, and rapid prototype iteration, seamlessly connecting design and code processes. The user-friendly interface and community-driven ecosystem allow design engineers and "vibe coders" to unleash their creativity in collaboration, improving project development efficiency and consistency. With no on-premises deployment required, cloud collaboration and exportable seed projects allow teams to easily expand and maintain component libraries and shorten project time-to-live.
KreadoAI
AI virtual digital human
KreadoAI is a powerful AI video generation platform designed for marketing, education, training, and e-commerce content creation. Users can quickly generate high-quality video clips by entering text, images, PPTs, or links to select preset 1,000+ digital avatars and 1,600+ multilingual AI voices. The platform supports one-click cloning of custom avatars and voices, replacing users' images or videos with digital avatars, and automatically synchronizing lip shapes and expressions. KreadoAI offers both cloud and API access methods, making it suitable for small and medium-sized teams and enterprises. It also has intelligent editing features such as automatic subtitles, multilingual dubbing, background removal, subtitle translation, and video editing. The platform is adopted by over 350,000 teams worldwide, providing an efficient and scalable solution for marketing outreach, course production, and cross-language content localization. Without the need for a studio and professional equipment, minute-level video output can be achieved, greatly saving costs and time, and enhancing brand visual expression and communication.
AI digital employee
AI virtual digital human
AI Digital Employee - Enterprise Edition is an enterprise-level intelligent automation platform launched by 360 Group, relying on the 360 intelligent brain model to provide digital employee services for organizations. The platform has built-in modules such as intelligent Q&A, process automation, data analysis and report generation, and approval flow management, and supports WeChat, DingTalk, and web access, and can be quickly deployed and flexibly expanded through visual configuration and low-code options. Digital employees can be online around the clock, replacing repetitive manual tasks, improving customer service response, financial accounting, and human resource management efficiency, continuously optimizing business processes and reducing operating costs, and helping enterprises achieve intelligent transformation.
MasterGo
AI design tools
MasterGo is a full-platform collaborative UI/UX design and prototyping tool that supports vector drawing, automatic layout, componentized management, and multi-person real-time editing, with built-in version control and design specification libraries. The platform provides cross-project design systems, one-click delivery development, and plug-in extension functions to help teams efficiently unify visual language and accelerate design iteration and delivery processes. Compatible with Windows, macOS, and web, seamless collaboration, online preview, and offline editing help product designers and developers create consistent and professional digital experiences, improving the overall creative efficiency and project quality of the team.
Kaedim
AI design tools
Kaedim is an AI-powered 3D model generation platform capable of quickly converting 2D images or text descriptions into high-quality 3D models. Its unique workflow combines advanced machine learning algorithms with human review by an in-house art team, ensuring that each model is of production-grade quality. Users can simply upload a reference image or provide a text description, and Kaedim's AI engine automatically generates a preliminary 3D model, which is then fine-tuned and optimized by professional artists. The generated models support multiple formats (such as FBX, OBJ, GLB, etc.) and can be directly integrated into mainstream 3D engines such as Unity, Unreal Engine, and Blender, widely used in game development, architectural visualization, product design, and e-commerce display. Kaedim offers features such as automatic mapping, UV expansion, and level of detail (LoD) generation, significantly improving the efficiency of creating 3D assets and helping users produce high-quality 3D content in a short time.
Sonify
AI music creation
Sonify is an innovative company focused on the intersection of audio, data, and emerging technologies, developing data-driven solutions with audio at its core. Its flagship product, TwoTone, is an open-source web application that allows users to convert datasets into music without programming experience, supporting MIDI output, and is suitable for various scenarios such as education, journalism, and artistic creation. Sonify's projects span areas such as data visualization, sound design, spatial audio, virtual reality (VR/AR), and artificial intelligence, and have received support from organizations such as the Google News Initiative and the Knight Foundation. Headquartered in Vermont, USA, the company aims to enhance data understanding and improve information accessibility through sound, especially for the visually impaired to provide a more user-friendly way to interact with data.
Cassette AI
AI music creation
CassetteAI is an AI-powered music creation platform that allows users to quickly generate high-quality original music, sound effects, and vocals from text prompts. Users can simply input descriptive words such as "electronic dance music rhythm" or "soft piano melody," and the AI will generate corresponding music clips. The platform supports a wide range of musical styles and moods, making it suitable for various scenarios such as video production, podcasting, gaming, and advertising. CassetteAI offers a variety of advanced features such as lyric generation, track separation, MIDI conversion, AI editing studio, and more to help users achieve personalized music creation. The platform has also partnered with fal.ai to enable rapid music generation, with 30-second samples generated in 2 seconds and full 3-minute tracks generated in 10 seconds. CassetteAI offers both free and paid subscription options, supporting commercial use, making it accessible to individual creators, content producers, and brand marketers, making it easy to bring music ideas to life.
Magenta Studio
AI music creation
Magenta is an open-source research project initiated by the Google Brain team to explore the application of machine learning in music and art creation. Based on the TensorFlow framework, the project has developed a variety of generative models and tools to help artists and developers use AI for creation. Magenta offers a wealth of resources, including Magenta Studio plugins, DDSP-VST synthesizers, Magenta.js browser APIs, and a variety of interactive presentations and Colab notebooks to support AI-driven creations in music, painting, design, and more. Through these tools, users can achieve functions such as melody generation, rhythm transformation, and image style transfer, stimulating creative inspiration and expanding artistic expression.
Morpho by Neutone
AI music creation
Neutone is an AI audio plugin platform developed by Neutone Inc., designed to provide real-time audio processing and voice transformation solutions for music creators, sound designers, and AI researchers. The platform offers two main plugins: Neutone FX and Neutone Morpho. Neutone FX is a free plugin that supports loading and running multiple AI models in digital audio workstations (DAWs) for audio style transfer, sound effect processing, and more. Neutone Morpho is an advanced real-time timbre changer plugin that allows users to reinvent any audio input into a new sound style while preserving its core characteristics. Users can also train and deploy custom AI models using tools like PyTorch through the SDK provided by Neutone, eliminating the need for in-depth programming knowledge. Neutone supports macOS and Windows systems, is compatible with VST3 and AU plug-in formats, and is suitable for mainstream DAWs such as Ableton Live, Logic Pro, Reaper, and more. The platform is committed to promoting the application and innovation of AI technology in music creation through open communities and tools.
OpenVINO by Audacity
AI music creation
Audacity is a cross-platform, open-source, and free multi-track audio editing and recording software available for Windows, macOS, and Linux. Since its release in 2000, Audacity has been a favorite among musicians, podcast producers, educators, and audio enthusiasts. Its functions include recording, editing, mixing, noise reduction, sound processing, spectrum analysis, etc., and supports various audio formats such as WAV, MP3, FLAC, OGG, etc. Audacity also supports plugin extensions such as VST, LADSPA, LV2, and more, allowing users to customize effects and workflows. The latest version introduces new features such as real-time effect previews, cloud saves, and AI plugin support, further enhancing the user experience. As a powerful and easy-to-use audio editing tool, Audacity is an ideal choice for audio production and editing.
Harmonai
AI music creation
Harmonai is an AI audio generation platform launched by an open-source lab owned by Stability AI, aiming to make music creation more accessible and fun through open-source generative audio tools. One of the platform's core tools is Dance Diffusion, an audio generation system based on diffusion models that allows users to generate music from scratch, upload samples for recreation, or interpolate between different audio tracks. Harmonai offers a variety of training models, including Maestro-150K (based on piano datasets), Jmann series (based on Jonathan Mann's "Song of the Day" project), and more, catering to different styles of music creation. As a community-driven project, Harmonai encourages musicians, developers, and researchers to participate in advancing AI music technology. The platform is completely free and supports local deployment, making it accessible to users looking to explore AI music creation.
Fish Audio
AI audio processing
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.