AI API access tags are aimed at development teams that need to embed text, images, voice, or agent capabilities into their products. Page organization includes interface coverage, billing units, concurrency limits, response delays, regional availability, data retention policies, and SDK support, making it easy to reliably choose between prototypes and production environments.
Google Gemini API is the latest generation of Google DeepMind's multimodal large language model interface, through which developers can call Gemini 2.0 Flash, 2.5 Pro, Gemma open source models, etc. Gemini provides multimodal input for text, images, audio, and even video, supporting up to a million token context windows, making it suitable for complex reasoning, code generation, and interactive agent scenarios. Google AI Studio is the official online IDE that helps developers quickly prototype through prompt design, parameter tuning, and the ability to export code or migrate to Vertex AI for production deployment. The platform also integrates model services such as Imagen (text-to-image), Veo (text-to-video), and Lyria (text-audio), providing open-source Gemma models for lightweight deployment and rapid experimentation. Google AI Edge enables model deployment to Android, iOS, web, or embedded devices for cross-platform low-latency inference with tools like LiteRT, MediaPipe, and more. The platform also includes a Responsible GenAI Toolkit to guide model design and compliance deployment. AI for Developers provides developers with one-stop generative AI capabilities from prototyping to commercial deployment.
OpenAI Platform is a developer platform provided by OpenAI that supports building AI applications using the latest GPT series models through APIs. The platform currently offers a variety of models, including GPT-4.1 (Ultimate Edition), which focuses on general intelligence and multimodal capabilities, and its lightweight versions GPT-4.1 mini and nano; O3 series models for strong reasoning and scientific tasks (including O3, O3-Mini, O3-Pro); and the cost-effective, inference-oriented O4-mini series. Developers can choose different models according to their needs - for example, GPT-4.1 is suitable for multimedia input and dialogue scenarios, and the o3 series is more suitable for complex reasoning tasks such as code generation, mathematical and scientific problem solving, etc. The platform supports SDKs such as Python and Node.js, and has a million-token context window, suitable for AI office assistants, intelligent search, data analysis, code assistants, and other scenarios. The platform emphasizes security, compliance, and stability, managing functions such as API keys, quotas, access rights, and logging through the console.
Anthropic API (Claude API) is a set of developer-friendly AI interface platforms provided by Anthropic that allow developers to programmatically access high-performance language models, including Claude 4 Opus and Claude 4 Sonnet. The API supports Web Search, Model Context Protocol (MCP) connectors, file storage APIs, and code execution tools, allowing developers to build autonomous AI agents to complete complex workflows such as data analysis, document generation, and programming tasks. MCP connectors integrate tools like Google Workspace, Slack, GitHub, Stripe, and more to enable seamless AI interaction with existing systems. The Code Execution tool allows Claude to run Python code in a sandbox environment to generate visual analysis results. The Anthropic API provides a multilingual SDK (including Python, TypeScript, C#, Java) with a highly scalable and pay-as-you-go billing model, and allows developers to quickly try out, manage API keys, and usage permissions through Workbench in the Console. The API is widely suitable for building AI office assistants, programming assistants, intelligent search and analysis systems, and emphasizes the concepts of security and long-term alignment, employing constitutional AI principles to reduce harmful outputs, and is suitable for developers who need reliable, secure, and high-quality language intelligence.
Hive AI is an artificial intelligence company headquartered in San Francisco, USA, focusing on providing cloud-based AI solutions to help businesses understand, search, and generate content. Its products cover various areas such as content moderation, brand protection, fraud detection, and generative AI. Hive AI's pre-trained models support the classification and analysis of text, image, video, and audio data, and are widely used in industries such as social media, e-commerce, media, and marketing. The company also provides API interfaces to facilitate developers to integrate AI functions into their applications. Hive AI is committed to improving the efficiency and accuracy of content processing through advanced AI technology, meeting the diverse needs of customers in different industries.
HiMCP.ai is an AI tool integration platform focused on Model Context Protocol (MCP), bringing together over 11,000 MCP servers across various fields such as AI inference, content generation, data analysis, and browser automation. The platform provides developers with unified MCP client and server resources, supports seamless integration with mainstream AI assistants such as Claude, Cursor, and Cline, simplifying the discovery, deployment, and invocation process of AI tools. HiMCP.ai connects AI models with external data sources, APIs, and systems through standardized protocols, improving the scalability and collaboration efficiency of AI applications, making it suitable for building RAG systems, automated workflows, and multimodal AI applications.
API Tracker's MCP Servers page brings together over 100 official and community-released Model Context Protocol (MCP) servers. The page provides presentation tools by category (e.g., database, browser automation, search engine, blockchain, etc.), making it easy for developers to quickly discover and compare contextual services that can be integrated with large language models (e.g., Claude, Cursor, Windsurf, etc.). Each MCP server comes with integration status, documentation, and platform support information to help developers efficiently access external APIs in IDE and AI Agent environments. This catalog is suitable for technical teams seeking high availability, standardized deployment, and rapid tool integration, making it an essential resource for building AI toolchains.
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.
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.
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.
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.
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.
Affectiva is an artificial intelligence company originating from MIT Media Lab that focuses on developing Emotion AI (Emotional Artificial Intelligence) technology, designed to identify complex emotional and cognitive states by analyzing human facial expressions, voice intonation, and body language. Its core products include media analytics and in-car perception AI, which are widely used in advertising testing, entertainment content evaluation, driver monitoring, and other fields. Affectiva has the world's largest emotion database, covering more than 17.4 million facial videos and 8 billion frames of image data, serving 90% of the world's top advertisers and 26% of Fortune Global 500 companies. In 2021, Affectiva was acquired by Swedish company Smart Eye, further strengthening its technological prowess in the field of in-vehicle AI and human-computer interaction.
OpenAI.fm is an interactive text-to-speech platform launched by OpenAI, designed to provide high-quality speech synthesis services for developers and content creators. The platform uses the advanced GPT-4o-mini-TTS model and supports a variety of preset voice characters, including Alloy, Ash, Ballad, Coral, Echo, Fable, Nova, Sage, Shimmer, and Verse, allowing users to choose the appropriate voice style according to their needs. OpenAI.fm Offers features such as real-time voice generation, emotional tone adjustment, and multilingual support, making it suitable for various scenarios such as education, podcasting, and customer service. Additionally, the platform provides API interfaces for developers to integrate speech synthesis capabilities into their applications. With OpenAI.fm, users can efficiently create natural-sounding voice content, enhancing its accessibility and user experience.
Play.ht is an advanced AI text-to-speech platform that offers over 800 natural-sounding AI voices, supporting over 100 languages and dialects, and is suitable for various scenarios such as podcasts, audiobooks, video dubbing, education and training, customer service, and more. The platform has features such as multi-speaker dialogue, voice cloning, AI dubbing, and voice agents, allowing users to customize speech speed, intonation, emotion, and pronunciation for personalized audio content creation. Play.ht provides an online editor and API interface, making it easy for developers to integrate speech synthesis functions and enhance user experience. Its high-quality voice output and flexible customization options make it an ideal choice for content creators and businesses.
Firebase Studio is Google's browser-based AI programming platform designed to accelerate the development and deployment of full-stack AI applications. The platform integrates with Gemini AI assistant and supports natural language prompt generation front-end, back-end, API, and database components, suitable for rapid prototyping and production-level application development. Firebase Studio offers multiple development modes, including code editing, AI interaction, and visual interfaces, supports importing codebases such as GitHub, GitLab, and Bitbucket, and is compatible with mainstream frameworks such as React, Next.js, Flutter, and Android. The platform has built-in Firebase services, such as Firestore, Cloud Functions, App Hosting, etc., and supports one-click deployment and real-time preview. Nix allows users to customize their development environment to meet their individual needs. Firebase Studio is currently in preview and offers 3 workspaces for free, expanding to 30 workspaces for Google Developer Program members.
Golex AI is a no-code AI website generation platform that allows users to create fully functional web applications in minutes with just natural language descriptions. The platform supports building various types of websites such as e-commerce platforms, blogs, portfolios, etc., suitable for startups, product managers, and non-technical users. Golex AI offers multilingual support, built-in authentication, database management, file storage, payment processing, and other functions, and can be integrated with services such as Firebase and Google Vertex AI to enhance the intelligence of applications. Users can customize their domain names and quickly deploy them online, and the platform offers a variety of subscription plans such as Free, Basic ($20/month), Professional ($50/month), and Enterprise ($100/month) to meet the needs of projects of different sizes.
MGX (MetaGPT X) is an AI programming platform based on a multi-agent architecture designed to automate the entire process from requirements analysis to deployment by simulating real software development processes. The platform introduces multiple AI roles such as product managers, architects, engineers, and data analysts to collaboratively complete the construction of websites, blogs, e-commerce, data analysis, games, and other applications. Users only need to describe their requirements through natural language, and MGX can generate a complete code structure and deployment plan, supporting real-time preview and one-click deployment. The platform also offers a visual editor and Dev Mode for easy interface tweaks and code editing. MGX integrates large language models like GPT-4, Claude, and Gemini, supporting multiple programming languages and frameworks, making it suitable for individual developers, startups, and product teams.
Inception Labs is an AI startup founded by professors from Stanford, UCLA, and Cornell University that focuses on developing next-generation large language models (dLLMs) based on diffusion models. Its core product, the Mercury series of models, adopts a parallel generation mechanism to significantly improve the speed and efficiency of text and code generation, with a single-user throughput of up to 1,000 tokens per second, outperforming mainstream models such as GPT-4o and Claude 3.5 Haiku. Inception Labs provides OpenAI-compatible APIs that support local deployment and model fine-tuning, and has been integrated with platforms such as Microsoft NLWeb and Coplay, and is widely used in scenarios such as code completion, enterprise automation, and natural language interfaces. The company is committed to promoting the widespread application of generative AI in multimodal fields through faster and lower-cost AI solutions.
Replicate is an AI model hosting and inference platform for developers, providing a unified API interface that supports various generation tasks such as images, videos, audio, and text. Users can easily call open source models on the platform, including Stable Diffusion, FLUX, Whisper, GPT-4, etc., through client libraries such as Python and Node.js, to achieve functions such as text generation to images, speech-to-text, video generation, and text generation. Replicate also supports model fine-tuning and custom deployment, suitable for AI drawing, AI video, AI audio, AI writing, AI programming, AI design, AI detection, and other fields. The platform offers a predictable billing model, making it suitable for both individual developers and business users.
Roo Code is an open-source AI programming assistant that is integrated into the development environment as a VS Code extension, providing a multi-agent collaboration experience for development teams. It supports natural language interaction, with the ability to read and edit project files, execute terminal commands, automate browser actions, and integrate custom tools through the Model Context Protocol (MCP). Roo Code has a variety of built-in dedicated modes, such as Code, Architect, Debug, Ask, etc., and users can also create custom patterns to meet specific development needs. Its Intelligent Context Condensing function can automatically manage the contextual information of large projects and improve processing efficiency. The platform supports a variety of AI models, including OpenAI, Google Gemini, Anthropic Claude, etc., and can run local models through LM Studio, suitable for scenarios with high privacy and performance requirements. Roo Code is widely used in code generation, refactoring, debugging, documentation, and other tasks, making it suitable for developers, AI researchers, and automation engineers.
Warp Terminal is a modern terminal built in Rust language, integrating the AI assistant "Agent Mode" to support natural language instructions, code generation, error interpretation, and multi-step task execution. Its IDE-style editor offers multi-line editing, intelligent completion, and command block management to improve development efficiency. The Warp Drive feature allows users to save and share commands, workflows, and environment variables, facilitating team collaboration. Compatible with zsh, bash, fish, and PowerShell, supporting macOS, Linux, and Windows platforms, it is suitable for various scenarios such as developers, DevOps engineers, and AI researchers.
Firecrawl is an AI-powered web scraping and data extraction platform for developers that transforms any website content into structured data for large language models (LLMs). The platform offers a variety of features, including single-page scraping (/scrape), full-site crawling (/crawl), website structure mapping (/map), web search (/search), and structured data extraction (/extract), supporting various output formats such as Markdown, JSON, and HTML. Firecrawl has the ability to handle dynamic JavaScript content, bypass anticrawling mechanisms, and automatic proxy rotation, making it suitable for building RAG systems, AI assistants, knowledge bases, and market intelligence tools. The platform provides a variety of SDKs such as Python, Node, Go, and Rust, and is deeply integrated with AI frameworks such as LangChain, LlamaIndex, and Dify, supporting local deployment and open source hosting, suitable for a variety of application scenarios from individual developers to enterprise-level users.