{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-ai-google-dev","slug":"ai-google-dev","name":"ai.google.dev","type":"mcp","url":"https://ai.google.dev/","page_url":"https://unfragile.ai/ai-google-dev","categories":["mcp-servers"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-ai-google-dev__cap_0","uri":"capability://text.generation.language.multimodal.text.and.code.generation.via.rest.api","name":"multimodal text and code generation via rest api","description":"Accepts text prompts and multimodal content (text, code, images for Gemini 3.1 Pro) via REST endpoints at generativelanguage.googleapis.com/v1beta/models/{model}:generateContent, routing requests through Google's managed inference infrastructure with structured JSON request/response payloads. Supports six language SDKs (Python, JavaScript, Go, Java, C#) that wrap the REST layer, handling authentication via API keys and serializing multimodal content into the protocol buffer-compatible JSON format.","intents":["Generate code snippets or full functions from natural language descriptions","Create written content, summaries, or explanations from prompts","Analyze code or text provided in the prompt for insights and debugging","Build chatbots or conversational interfaces without managing model infrastructure"],"best_for":["Individual developers and hobbyists prototyping AI features quickly","Startup teams building production applications with managed infrastructure","Teams wanting to avoid local model hosting and GPU provisioning"],"limitations":["Multimodal input (image/video) documented for Gemini 3.1 Pro but no API examples provided; exact supported formats unknown","No streaming response support mentioned in documentation","Context window size not specified; unknown maximum prompt length","No fine-grained parameter control documented (temperature, top_p, max_tokens absent from examples)","Free tier restricted to older/weaker models; Gemini 3.1 Pro requires paid tier"],"requires":["Google AI API key (obtained free from Google AI Studio)","Python 3.7+ (for Python SDK) or Node.js 14+ (for JavaScript SDK)","Network connectivity to generativelanguage.googleapis.com","Paid tier subscription for Gemini 3.1 Pro access ($2-18 per 1M tokens)"],"input_types":["text (primary)","code (as text within prompts)","images (Gemini 3.1 Pro, format details unknown)","structured JSON payloads"],"output_types":["text (primary)","code (generated or analyzed)","structured JSON responses","multimodal content (format unknown)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_1","uri":"capability://memory.knowledge.context.caching.for.prompt.reuse.cost.reduction","name":"context caching for prompt reuse cost reduction","description":"Implements a token-level caching mechanism where repeated prompt prefixes (e.g., system instructions, document context in RAG) are cached server-side after the first request, reducing input token costs by ~90% on subsequent requests using the same cached context. Charged at $0.20-0.40 per 1M cached input tokens (vs. $2.00 per 1M for non-cached input on Gemini 3.1 Pro) plus $4.50 per 1M tokens per hour of storage, enabling cost optimization for applications with stable, reused context.","intents":["Reduce API costs when repeatedly querying the same documents or knowledge base","Optimize RAG pipelines where the same document corpus is queried multiple times","Cache system prompts and instructions across multiple user conversations","Enable cost-effective long-context applications without exceeding budget"],"best_for":["Teams building RAG systems with repeated document queries","Applications with stable system prompts used across thousands of requests","Cost-sensitive deployments processing high-volume similar queries"],"limitations":["Storage cost ($4.50/1M tokens/hour) may exceed savings for short-lived caches (< 1 hour retention)","Requires paid tier; not available on free tier","Cache invalidation strategy not documented; unclear if manual or automatic","Minimum cache size unknown; may not be cost-effective for small prompts","Caching only applies to input tokens; output tokens charged at full rate"],"requires":["Paid tier subscription (minimum $2 per 1M input tokens)","Stable, reusable prompt context (documents, instructions, examples)","API requests with identical cached prefix (exact matching required, likely)"],"input_types":["text prompts with reusable prefixes","documents or knowledge base content","system instructions and few-shot examples"],"output_types":["text responses with reduced input token cost","structured JSON with cache metadata (unknown if exposed)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_10","uri":"capability://automation.workflow.tiered.pricing.with.free.and.paid.models","name":"tiered pricing with free and paid models","description":"Implements a freemium pricing model with restricted free tier (limited models, generous token limits, data used for product improvement) and pay-as-you-go paid tier ($2-18 per 1M tokens for Gemini 3.1 Pro depending on prompt length and input/output). Pricing differentiation at 200K token boundary (2-3x cost increase for longer prompts) incentivizes shorter prompts and context optimization.","intents":["Evaluate Gemini API capabilities without upfront cost","Scale from hobby projects to production with predictable per-token pricing","Optimize costs by understanding pricing structure and using batch/caching features","Budget API costs for applications with known token volumes"],"best_for":["Individual developers and hobbyists (free tier)","Startups and small teams with moderate usage (pay-as-you-go)","Enterprises with high volume (custom pricing, contact sales)"],"limitations":["Free tier restricted to older/weaker models; Gemini 3.1 Pro requires paid tier","Free tier content used to improve Google products (privacy concern)","Pricing jumps at 200K token boundary (2-3x increase); incentivizes prompt optimization but adds complexity","Context caching storage costs ($4.50/1M tokens/hour) may exceed savings for short-lived caches","Batch API 50% discount only applies to async processing (24-48 hour latency)","No volume discounts documented for paid tier; enterprise pricing requires negotiation","Search grounding adds $14 per 1M tokens on top of base model cost"],"requires":["Google account (free tier)","Payment method (paid tier)","Ability to estimate token usage for budgeting"],"input_types":["text prompts (metered by input tokens)","multimodal content (token cost unknown)"],"output_types":["text responses (metered by output tokens)","structured responses"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_11","uri":"capability://automation.workflow.enterprise.deployment.with.gemini.enterprise.agent.platform","name":"enterprise deployment with gemini enterprise agent platform","description":"Provides enterprise-grade deployment option with custom security, compliance, and SLA requirements. Includes dedicated support, provisioned throughput (guaranteed capacity), volume discounts, and access to ML Ops and Model Garden tools for advanced use cases. Exact features, pricing, and deployment options not documented; requires contacting sales.","intents":["Deploy Gemini API in regulated industries with compliance requirements","Guarantee API availability and performance with provisioned throughput","Access advanced ML operations and model management tools","Negotiate volume discounts for high-volume deployments"],"best_for":["Enterprise organizations with strict security/compliance requirements","High-volume deployments requiring guaranteed capacity and SLA","Teams needing dedicated support and custom integrations"],"limitations":["Pricing and features not publicly documented; requires sales engagement","Deployment options (on-premises, VPC, etc.) unknown","SLA terms and uptime guarantees not specified","Provisioned throughput pricing and minimum commitments unknown","ML Ops and Model Garden features not documented","Onboarding timeline and complexity unknown"],"requires":["Enterprise sales engagement (contact Google)","Compliance and security requirements documentation","Minimum volume commitment (unknown threshold)","Dedicated account management"],"input_types":["same as standard API"],"output_types":["same as standard API"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_2","uri":"capability://automation.workflow.batch.processing.api.with.50.cost.reduction","name":"batch processing api with 50% cost reduction","description":"Provides asynchronous batch processing endpoint that queues requests and processes them at lower priority, returning results via callback or polling after 24-48 hours. Reduces input and output token costs by 50% compared to real-time API calls, enabling cost-effective processing of non-urgent, high-volume inference workloads. Requests submitted as JSON arrays and results retrieved via batch job ID.","intents":["Process large volumes of content (e.g., 1M+ documents) at minimal cost","Generate training data or synthetic datasets without real-time latency requirements","Analyze historical data or logs in bulk without impacting real-time API budgets","Optimize costs for non-interactive use cases like content moderation or classification"],"best_for":["Data teams processing large datasets overnight or on a schedule","Cost-sensitive applications where 24-48 hour latency is acceptable","Batch data processing pipelines (ETL, content generation, classification)"],"limitations":["Asynchronous only; not suitable for real-time or interactive applications","24-48 hour processing latency; exact SLA not specified","No streaming or incremental result delivery; full batch must complete before retrieval","Batch size limits unknown; may require splitting very large jobs","Failure handling and retry logic not documented"],"requires":["Paid tier subscription","Batch job submission API endpoint (details unknown)","Ability to wait 24-48 hours for results","Callback URL or polling mechanism for result retrieval"],"input_types":["JSON arrays of text prompts","structured batch job payloads"],"output_types":["batch results (format unknown)","job status and completion callbacks"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_3","uri":"capability://text.generation.language.on.device.inference.with.gemini.nano.for.android.and.chrome","name":"on-device inference with gemini nano for android and chrome","description":"Deploys Gemini Nano model directly to Android devices (native integration) and Chrome Web Platform APIs, enabling local inference without cloud transmission. Model runs entirely on-device with zero API calls, eliminating latency, cost, and privacy concerns for supported use cases. Requires no API key and keeps all data local; trade-off is reduced capability compared to cloud Gemini models.","intents":["Build privacy-first AI features for mobile apps without cloud dependency","Reduce latency for real-time AI features (e.g., text suggestions, on-device chat)","Eliminate API costs for high-frequency inference on mobile devices","Enable AI features in offline or low-connectivity environments"],"best_for":["Mobile app developers prioritizing privacy and latency","Teams building offline-first applications","Developers targeting Android 14+ or Chrome browsers with AI support"],"limitations":["Gemini Nano capability significantly lower than cloud Gemini 3.1 Pro; exact performance unknown","Model size and memory footprint not specified; likely 100MB-1GB for mobile","Limited to Android 14+ and Chrome (browser support unclear); older devices unsupported","No fine-tuning or custom model support documented","No streaming or advanced features (context caching, batch processing) available","Requires device storage and RAM; may not fit on all devices"],"requires":["Android 14+ device (for Android integration) or Chrome browser with AI support","No API key required (fully local)","Native Android SDK or Chrome Web Platform APIs (implementation details unknown)","Device storage for model weights (size unknown, likely 100MB-1GB)"],"input_types":["text prompts","local device context (files, sensor data, etc.)"],"output_types":["text responses","local device actions (notifications, suggestions, etc.)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_4","uri":"capability://search.retrieval.google.search.grounding.for.real.time.information.retrieval","name":"google search grounding for real-time information retrieval","description":"Integrates Google Search results into Gemini prompts, enabling models to ground responses in current web information rather than relying solely on training data. Automatically retrieves and cites relevant search results, reducing hallucination for time-sensitive queries (news, events, current prices). Charged at $14 per 1M tokens after 5,000 free prompts per month.","intents":["Answer questions about current events, news, or real-time data without hallucination","Provide up-to-date product prices, availability, or specifications","Generate content that cites authoritative sources from the web","Build chatbots that can discuss recent information accurately"],"best_for":["Applications requiring current information (news, finance, e-commerce)","Content creation tools that need to cite sources","Customer support chatbots answering questions about recent updates"],"limitations":["Adds latency due to search query execution and result retrieval (exact latency unknown)","Search quality depends on Google Search index; may miss niche or very recent information","Charged separately at $14 per 1M tokens (in addition to base model cost)","Free tier limited to 5,000 prompts per month; paid tier requires per-token billing","Search result freshness and ranking not customizable","No control over which search results are selected or how they're integrated"],"requires":["Paid tier subscription (or free tier with 5,000 monthly limit)","API request with search grounding enabled (parameter/flag unknown)","Network connectivity to Google Search infrastructure"],"input_types":["text prompts (queries that benefit from web search)"],"output_types":["text responses with citations","search results metadata (format unknown)","structured citations (format unknown)"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_5","uri":"capability://planning.reasoning.agentic.planning.and.task.execution.with.function.calling","name":"agentic planning and task execution with function calling","description":"Enables Gemini models to plan multi-step tasks and call external functions or APIs to execute them, implementing an agent loop where the model reasons about goals, selects tools, and iterates until completion. Supports schema-based function definitions with native bindings for common APIs; exact implementation (ReAct, chain-of-thought, tool-use patterns) not documented but implied by 'agentic functions' terminology.","intents":["Build autonomous agents that can break down complex tasks and execute them","Create chatbots that can take actions (book appointments, fetch data, update records)","Implement multi-step workflows that require reasoning and tool use","Enable models to interact with external APIs and databases without human intervention"],"best_for":["Teams building autonomous AI agents for business processes","Applications requiring multi-step task execution with reasoning","Customer support systems that can take actions (refunds, escalations, etc.)"],"limitations":["Function calling implementation details not documented; unclear if ReAct, chain-of-thought, or other pattern","Schema-based function definition format not specified; compatibility with OpenAI/Anthropic function calling unknown","No documented error handling or retry logic for failed function calls","Maximum number of function calls per request unknown","Tool selection and reasoning transparency not documented; no access to intermediate steps","Latency impact of multi-step agent loops not specified"],"requires":["Paid tier subscription (agentic features likely not in free tier)","Function/tool definitions in schema format (format unknown)","API endpoints or callable functions to integrate","Gemini 3.1 Pro or later (agentic functions mentioned for this model)"],"input_types":["text prompts describing tasks","function/tool schema definitions","external API endpoints"],"output_types":["planned task steps","function call sequences","final task results","reasoning traces (unknown if exposed)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_6","uri":"capability://planning.reasoning.deep.research.with.collaborative.planning.and.visualization","name":"deep research with collaborative planning and visualization","description":"Provides an interactive research mode (preview feature) where Gemini breaks down research queries into sub-questions, iteratively gathers information, and presents findings with visualizations and citations. Supports MCP (Model Context Protocol) for tool integration, enabling researchers to collaborate with the model on complex investigations. Exact implementation (agentic loop, visualization engine, MCP integration) not fully documented.","intents":["Conduct comprehensive research on complex topics with multiple information sources","Generate research reports with visualizations and proper citations","Collaborate with AI on exploratory analysis and hypothesis testing","Integrate custom tools and data sources into research workflows via MCP"],"best_for":["Researchers and analysts conducting in-depth investigations","Content creators building comprehensive reports or articles","Teams needing collaborative AI-assisted research workflows"],"limitations":["Preview feature; stability, pricing, and availability unknown","MCP support mentioned but not detailed; compatibility with existing MCP tools unclear","Visualization types and customization options not documented","Research depth, iteration count, and time limits unknown","Citation accuracy and source reliability not specified","Collaboration features (multi-user, version control, etc.) not documented"],"requires":["Paid tier subscription (likely; free tier support unknown)","Access to Deep Research feature (preview; may require waitlist)","MCP-compatible tools for integration (if using custom tools)","Gemini 3.1 Pro or later (implied by preview status)"],"input_types":["research queries (text)","MCP tool definitions","custom data sources (format unknown)"],"output_types":["research reports (text)","visualizations (format unknown)","citations and sources","sub-question breakdowns"],"categories":["planning-reasoning","tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_7","uri":"capability://code.generation.editing.open.source.gemma.model.fine.tuning.and.self.hosting","name":"open-source gemma model fine-tuning and self-hosting","description":"Provides open-source Gemma models (weights available) that can be downloaded, fine-tuned on custom datasets, and deployed on self-managed infrastructure (on-premises, cloud, or edge). Enables full control over model behavior, data privacy, and deployment environment without vendor lock-in. Fine-tuning framework and deployment options not fully specified but implied to support standard ML workflows.","intents":["Build custom AI models tailored to domain-specific tasks without relying on proprietary APIs","Maintain full data privacy by training and deploying models on internal infrastructure","Reduce long-term API costs for high-volume inference by self-hosting","Customize model behavior and outputs for specific business requirements"],"best_for":["Enterprise teams with strict data privacy or compliance requirements","Organizations with high inference volume where self-hosting is cost-effective","ML teams with expertise in model fine-tuning and deployment","Projects requiring full control over model behavior and outputs"],"limitations":["Gemma capability lower than Gemini 3.1 Pro; exact performance benchmarks unknown","Fine-tuning framework and tools not documented; compatibility with standard frameworks (HuggingFace, PyTorch) unknown","Deployment options not specified; unclear if Google provides hosting, tooling, or only model weights","Infrastructure costs (GPU, storage, compute) not included in 'free' open-source model","Support and updates for Gemma models unclear; maintenance burden on user","No managed fine-tuning service documented; requires in-house ML expertise"],"requires":["ML infrastructure (GPU for training, compute for inference)","Python 3.8+ and standard ML frameworks (PyTorch, TensorFlow, etc.)","Custom training data for fine-tuning","DevOps expertise for model deployment and serving","Storage for model weights (size unknown, likely 7B-70B parameters)"],"input_types":["training datasets (text, format unknown)","model weights (Gemma checkpoints)","fine-tuning configuration"],"output_types":["fine-tuned model weights","inference outputs (text, code, etc.)","training metrics and logs"],"categories":["code-generation-editing","text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_8","uri":"capability://tool.use.integration.multi.language.sdk.support.with.unified.api.abstraction","name":"multi-language sdk support with unified api abstraction","description":"Provides native SDKs for Python, JavaScript, Go, Java, and C# that abstract the underlying REST API, handling authentication, serialization, and error handling. Each SDK exposes a consistent interface (e.g., `GenerativeModel.generate_content()`) while managing language-specific details (async/await in JS, goroutines in Go, etc.). SDKs automatically route requests to the correct API endpoint and handle response deserialization.","intents":["Integrate Gemini API into applications using preferred programming language","Reduce boilerplate code for API authentication and request/response handling","Enable rapid prototyping with language-native idioms (async/await, goroutines, etc.)","Maintain consistent API surface across multiple language implementations"],"best_for":["Development teams using Python, JavaScript, Go, Java, or C#","Rapid prototyping and MVP development","Teams wanting to avoid raw HTTP/REST API calls"],"limitations":["Limited to five languages; other languages require REST API calls","SDK feature parity unknown; some languages may lag in feature support","Async/streaming support varies by SDK (not documented)","Error handling and retry logic implementation varies by SDK","SDK version management and deprecation policy not documented","No official SDKs for Rust, Go (wait, Go is listed), Ruby, PHP, or other languages"],"requires":["Python 3.7+ (for Python SDK) or Node.js 14+ (for JavaScript SDK) or equivalent for other languages","SDK installation via package manager (pip, npm, go get, Maven, NuGet)","Google AI API key","Network connectivity to Google API endpoints"],"input_types":["text prompts","multimodal content (SDK-dependent support)","configuration objects (model, temperature, etc.)"],"output_types":["text responses","structured response objects","streaming responses (SDK-dependent)"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ai-google-dev__cap_9","uri":"capability://text.generation.language.google.ai.studio.web.based.prompt.testing.and.development","name":"google ai studio web-based prompt testing and development","description":"Provides a no-code web interface (Google AI Studio) for testing prompts, experimenting with different models, and iterating on responses before deploying to production. Enables rapid prompt engineering without writing code, with built-in model selection, parameter tuning (if available), and response comparison. Generated prompts can be exported as code snippets in supported languages.","intents":["Test and refine prompts before integrating into applications","Experiment with different models to compare outputs and performance","Prototype AI features without writing code","Generate starter code for API integration in multiple languages"],"best_for":["Non-technical stakeholders prototyping AI features","Developers iterating on prompts before production deployment","Teams evaluating model capabilities before committing to API integration"],"limitations":["Web-based only; no offline or local version","Parameter tuning options not documented; may be limited compared to API","No version control or prompt history (unknown if available)","Export code quality and completeness unknown","No collaboration features documented (multi-user, sharing, etc.)","Limited to free tier models (Gemini 3.1 Pro may not be available)"],"requires":["Web browser with internet access","Google account (for authentication)","No API key required (uses web session authentication)"],"input_types":["text prompts (typed or pasted)","model selection (dropdown)","parameter adjustments (if available)"],"output_types":["text responses","exported code snippets (Python, JavaScript, Go, Java, C#)","response metadata (tokens, latency, etc.)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Google AI API key (obtained free from Google AI Studio)","Python 3.7+ (for Python SDK) or Node.js 14+ (for JavaScript SDK)","Network connectivity to generativelanguage.googleapis.com","Paid tier subscription for Gemini 3.1 Pro access ($2-18 per 1M tokens)","Paid tier subscription (minimum $2 per 1M input tokens)","Stable, reusable prompt context (documents, instructions, examples)","API requests with identical cached prefix (exact matching required, likely)","Google account (free tier)","Payment method (paid tier)","Ability to estimate token usage for budgeting"],"failure_modes":["Multimodal input (image/video) documented for Gemini 3.1 Pro but no API examples provided; exact supported formats unknown","No streaming response support mentioned in documentation","Context window size not specified; unknown maximum prompt length","No fine-grained parameter control documented (temperature, top_p, max_tokens absent from examples)","Free tier restricted to older/weaker models; Gemini 3.1 Pro requires paid tier","Storage cost ($4.50/1M tokens/hour) may exceed savings for short-lived caches (< 1 hour retention)","Requires paid tier; not available on free tier","Cache invalidation strategy not documented; unclear if manual or automatic","Minimum cache size unknown; may not be cost-effective for small prompts","Caching only applies to input tokens; output tokens charged at full rate","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:25.471Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-google-dev","compare_url":"https://unfragile.ai/compare?artifact=ai-google-dev"}},"signature":"1Tu79telIKlYOkU0LcOkJhG69gdLoD2bKnnnG6Vrji5nK7XWibwlPbcjtjnWpySb7Q3WOqHzBS+XB9I2u1zdDQ==","signedAt":"2026-06-21T16:50:53.259Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-google-dev","artifact":"https://unfragile.ai/ai-google-dev","verify":"https://unfragile.ai/api/v1/verify?slug=ai-google-dev","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}