{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_andylee20014-mcp-replicate-flux","slug":"andylee20014-mcp-replicate-flux","name":"Replicate FLUX Image Generator","type":"mcp","url":"https://mcp.freeaigen.com/","page_url":"https://unfragile.ai/andylee20014-mcp-replicate-flux","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","image-generation","smithery:andylee20014/mcp-replicate-flux"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_andylee20014-mcp-replicate-flux__cap_0","uri":"capability://image.visual.mcp.native.image.generation.via.replicate.flux.models","name":"mcp-native image generation via replicate flux models","description":"Generates images by routing prompts through the Model Context Protocol (MCP) to Replicate's FLUX model endpoints, handling authentication via Replicate API keys and returning cloud-hosted image URLs. Uses MCP's standardized tool-calling interface to abstract away direct HTTP calls to Replicate's inference API, enabling seamless integration into MCP-compatible clients and agents without custom API wrappers.","intents":["I want to generate images from text prompts within my MCP-based agent or application without writing custom Replicate API integration code","I need to expose image generation as a callable tool in my MCP server that other clients can discover and invoke","I want to use FLUX models for image generation while maintaining compatibility with the MCP ecosystem"],"best_for":["MCP client developers building multi-tool agents","Teams standardizing on MCP for AI tool orchestration","Developers integrating image generation into existing MCP server stacks"],"limitations":["Requires valid Replicate API key with sufficient credits; no fallback to alternative providers if quota exhausted","MCP protocol overhead adds ~50-200ms latency per request compared to direct Replicate API calls","No built-in retry logic or exponential backoff for failed generation requests","Image generation latency depends entirely on Replicate's backend (typically 5-30 seconds per image)"],"requires":["Replicate API key with active account and available credits","MCP-compatible client or server framework (Claude Desktop, custom MCP client, etc.)","Network connectivity to Replicate's inference endpoints"],"input_types":["text (natural language image prompts)","optional structured parameters (model version, dimensions, seed)"],"output_types":["JSON with image URL (cloud-hosted)","image metadata (dimensions, generation time, model used)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_1","uri":"capability://image.visual.text.to.image.prompt.processing.and.model.routing","name":"text-to-image prompt processing and model routing","description":"Accepts freeform natural language image descriptions and routes them to appropriate FLUX model variants (e.g., FLUX.1-pro, FLUX.1-dev) based on prompt characteristics or explicit user selection. Handles prompt validation, optional parameter extraction (dimensions, aspect ratio, seed), and model version selection before sending to Replicate's inference pipeline.","intents":["I want to describe an image in natural language and have it generated without worrying about model selection or technical parameters","I need to specify exact image dimensions or aspect ratios for my use case","I want to use different FLUX model variants depending on quality vs speed tradeoffs"],"best_for":["Non-technical users building image generation workflows","Developers building prompt-to-image pipelines with flexible model selection","Teams needing consistent image dimensions across batches"],"limitations":["No built-in prompt optimization or enhancement; raw prompts are sent to the model as-is","Limited to FLUX model family; no support for other Replicate image models (Stable Diffusion, etc.)","No prompt caching or deduplication; identical prompts generate new images each time","Aspect ratio support depends on underlying FLUX model capabilities (typically 1:1, 16:9, 9:16)"],"requires":["Valid text prompt (minimum ~5 characters recommended for quality results)","Optional: explicit model version identifier (defaults to latest stable FLUX variant)","Optional: image dimensions or aspect ratio specification"],"input_types":["text (image description/prompt)","optional string (model version identifier)","optional integer (width, height in pixels)","optional integer (random seed for reproducibility)"],"output_types":["JSON with generated image URL","metadata including actual dimensions, generation duration, model version used"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_2","uri":"capability://image.visual.cloud.hosted.image.url.generation.and.persistence","name":"cloud-hosted image url generation and persistence","description":"Stores generated images on Replicate's cloud infrastructure and returns persistent, publicly-accessible HTTPS URLs that can be embedded in web applications, shared, or archived. Leverages Replicate's CDN and storage backend to ensure images remain available without requiring local file management or custom storage infrastructure.","intents":["I want generated images to be immediately shareable via URL without downloading and re-hosting them","I need image URLs that persist long-term for archival or portfolio purposes","I want to embed generated images directly in web applications without managing server storage"],"best_for":["Web application developers building image generation features","Content creators needing shareable image links","Teams without dedicated image storage infrastructure"],"limitations":["Image URLs are tied to Replicate's CDN; no guarantee of availability if Replicate service degrades","No built-in image expiration or deletion mechanism; images persist indefinitely unless manually removed via Replicate dashboard","URLs are public by default; no access control or authentication on generated images","Bandwidth and storage costs are Replicate's responsibility, but URL availability depends on their service uptime"],"requires":["Active Replicate account with valid API key","Network connectivity to Replicate's CDN endpoints"],"input_types":["generated image data from FLUX model inference"],"output_types":["HTTPS URL string (publicly accessible image link)","optional metadata (image size in bytes, CDN cache headers)"],"categories":["image-visual","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_3","uri":"capability://tool.use.integration.replicate.api.credential.management.and.authentication","name":"replicate api credential management and authentication","description":"Manages Replicate API key authentication by accepting credentials via environment variables or configuration files and automatically injecting them into outbound requests to Replicate's inference endpoints. Implements secure credential handling patterns to prevent key exposure in logs or MCP protocol messages.","intents":["I want to securely provide my Replicate API key to the MCP server without hardcoding it in client code","I need the MCP server to automatically authenticate with Replicate on my behalf","I want to rotate or update my API key without restarting the MCP server"],"best_for":["Developers deploying MCP servers in shared or production environments","Teams managing multiple Replicate accounts or API keys","Security-conscious teams requiring credential isolation"],"limitations":["Credentials must be provided via environment variables or config files; no built-in credential rotation mechanism","API key is stored in memory during server runtime; no encryption at rest","No audit logging of API key usage or failed authentication attempts","Single API key per server instance; no multi-tenant credential isolation"],"requires":["Replicate API key (obtainable from Replicate dashboard)","Environment variable REPLICATE_API_KEY or equivalent config mechanism","Secure environment for storing credentials (e.g., .env file not committed to version control)"],"input_types":["string (API key from environment or config)"],"output_types":["authenticated HTTP headers injected into Replicate API requests"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_4","uri":"capability://image.visual.batch.image.generation.with.asynchronous.polling","name":"batch image generation with asynchronous polling","description":"Supports generating multiple images in sequence or parallel by queuing prompts and polling Replicate's async inference endpoints for completion status. Implements polling loops with configurable timeout and retry logic to handle long-running image generation tasks without blocking the MCP client.","intents":["I want to generate multiple images from different prompts without waiting for each one to complete sequentially","I need to monitor generation progress and retrieve results as they become available","I want to generate images in the background while my application continues other work"],"best_for":["Developers building batch image processing pipelines","Applications requiring non-blocking image generation","Teams generating large volumes of images for datasets or content"],"limitations":["Polling adds latency overhead compared to webhook-based completion notifications (typically 1-5 second poll intervals)","No built-in webhook support; clients must implement polling loops themselves","Timeout handling is client-side responsibility; no server-side job persistence if client disconnects","Concurrent generation is limited by Replicate account tier and API rate limits"],"requires":["Replicate API key with sufficient quota for multiple concurrent generations","Client-side polling loop implementation or async/await pattern support","Timeout configuration (recommended 30-60 seconds per image)"],"input_types":["array of text prompts","optional array of model versions (one per prompt)","optional polling interval in milliseconds"],"output_types":["array of image URLs (one per prompt)","optional array of generation metadata (duration, model version, dimensions)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_5","uri":"capability://image.visual.image.generation.error.handling.and.failure.recovery","name":"image generation error handling and failure recovery","description":"Catches and reports errors from Replicate's inference pipeline (e.g., invalid prompts, quota exceeded, model timeouts) and returns structured error messages to MCP clients. Implements retry logic for transient failures and provides diagnostic information to help users troubleshoot generation failures.","intents":["I want clear error messages when image generation fails so I can debug the issue","I need automatic retry logic for transient failures like network timeouts","I want to know if my API quota is exhausted or if the failure is a temporary service issue"],"best_for":["Developers building robust image generation workflows","Teams requiring detailed error diagnostics and logging","Applications needing graceful degradation when generation fails"],"limitations":["Retry logic is limited to transient errors; permanent failures (invalid prompts, quota exceeded) are not retried","Error messages depend on Replicate's API responses; no custom error message formatting","No built-in circuit breaker pattern; repeated failures will continue to hit Replicate's API","Timeout handling is fixed; no configurable timeout per request"],"requires":["Error handling framework in MCP server implementation","Structured error response format (JSON with error code and message)"],"input_types":["error response from Replicate API"],"output_types":["JSON error object with error code, message, and optional retry suggestion","optional diagnostic metadata (HTTP status, Replicate error ID)"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andylee20014-mcp-replicate-flux__cap_6","uri":"capability://tool.use.integration.mcp.resource.discovery.and.tool.schema.exposition","name":"mcp resource discovery and tool schema exposition","description":"Exposes image generation capabilities as discoverable MCP tools with JSON schema definitions, enabling MCP clients (e.g., Claude Desktop) to automatically discover available functions, their parameters, and expected outputs. Implements MCP's tool registry pattern to register FLUX image generation as a callable resource with full parameter documentation.","intents":["I want my MCP client to automatically discover that image generation is available without manual configuration","I need the MCP client to show me available parameters and their types for image generation","I want to invoke image generation from my MCP client using natural language without knowing the exact function signature"],"best_for":["MCP client developers building dynamic tool discovery","Claude Desktop users accessing image generation via natural language","Teams standardizing on MCP for tool orchestration"],"limitations":["Tool schema is static; no dynamic parameter discovery based on Replicate's current model capabilities","Schema documentation depends on MCP server implementation quality; no automatic schema generation from Replicate API","Client support for tool discovery varies; not all MCP clients may expose discovered tools in UI"],"requires":["MCP-compatible client with tool discovery support","MCP server implementation with tool registry"],"input_types":["MCP protocol handshake and tool discovery request"],"output_types":["JSON schema defining available tools, parameters, and return types","human-readable tool descriptions and parameter documentation"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Replicate API key with active account and available credits","MCP-compatible client or server framework (Claude Desktop, custom MCP client, etc.)","Network connectivity to Replicate's inference endpoints","Valid text prompt (minimum ~5 characters recommended for quality results)","Optional: explicit model version identifier (defaults to latest stable FLUX variant)","Optional: image dimensions or aspect ratio specification","Active Replicate account with valid API key","Network connectivity to Replicate's CDN endpoints","Replicate API key (obtainable from Replicate dashboard)","Environment variable REPLICATE_API_KEY or equivalent config mechanism"],"failure_modes":["Requires valid Replicate API key with sufficient credits; no fallback to alternative providers if quota exhausted","MCP protocol overhead adds ~50-200ms latency per request compared to direct Replicate API calls","No built-in retry logic or exponential backoff for failed generation requests","Image generation latency depends entirely on Replicate's backend (typically 5-30 seconds per image)","No built-in prompt optimization or enhancement; raw prompts are sent to the model as-is","Limited to FLUX model family; no support for other Replicate image models (Stable Diffusion, etc.)","No prompt caching or deduplication; identical prompts generate new images each time","Aspect ratio support depends on underlying FLUX model capabilities (typically 1:1, 16:9, 9:16)","Image URLs are tied to Replicate's CDN; no guarantee of availability if Replicate service degrades","No built-in image expiration or deletion mechanism; images persist indefinitely unless manually removed via Replicate dashboard","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.39,"ecosystem":0.42,"match_graph":0.25,"freshness":0.5,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:18:54.202Z","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=andylee20014-mcp-replicate-flux","compare_url":"https://unfragile.ai/compare?artifact=andylee20014-mcp-replicate-flux"}},"signature":"O+zN+Qd0G/WQ/nyALGOhqwd5g0C7IvFHHaGBCGMB5iWiPYG7vZsDJeEw46LByUOtRWVvB/4fM5j7sHDzM2M4Dw==","signedAt":"2026-06-21T14:49:33.070Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/andylee20014-mcp-replicate-flux","artifact":"https://unfragile.ai/andylee20014-mcp-replicate-flux","verify":"https://unfragile.ai/api/v1/verify?slug=andylee20014-mcp-replicate-flux","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"}}