{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-minimax-ai--minimax-mcp","slug":"minimax-ai--minimax-mcp","name":"MiniMax-MCP","type":"mcp","url":"https://www.minimax.io/platform","page_url":"https://unfragile.ai/minimax-ai--minimax-mcp","categories":["mcp-servers"],"tags":["image-generation","image-to-video","mcp","mcp-server","mcp-tools","text-to-image","text-to-speech","text-to-video","video-generation","voice-cloning"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-minimax-ai--minimax-mcp__cap_0","uri":"capability://tool.use.integration.mcp.standardized.text.to.speech.synthesis.with.voice.selection","name":"mcp-standardized text-to-speech synthesis with voice selection","description":"Converts text input to audio using MiniMax's text-to-audio API through a FastMCP server decorator pattern. The implementation exposes a @mcp.tool decorated function that accepts text and voice parameters, validates inputs, routes requests through the MiniMax API client, and returns either direct URLs (url mode) or downloads audio files locally (local mode) based on MINIMAX_API_RESOURCE_MODE configuration. Supports regional API endpoints (global vs mainland China) with region-specific API keys.","intents":["I need to generate speech audio from text within my Claude Desktop or Cursor workflow without managing API calls directly","I want to synthesize narration for video content using a specific voice from MiniMax's voice library","I need to integrate text-to-speech into an MCP-compatible agent without writing custom API integration code"],"best_for":["AI agent developers using Claude Desktop, Cursor, or Windsurf with MCP support","Teams building multi-modal content generation pipelines that need standardized tool interfaces","Developers in mainland China or global regions needing region-specific API routing"],"limitations":["Voice selection is limited to MiniMax's predefined voice list — no custom voice training without voice cloning capability","Audio output format and bitrate are determined by MiniMax API defaults — no client-side format negotiation","Local mode requires filesystem write permissions and MINIMAX_MCP_BASE_PATH configuration; URL mode depends on MiniMax CDN availability","No streaming audio output — entire audio file must be generated before returning to client"],"requires":["MiniMax API key (region-specific: global or mainland China)","Python 3.9+ runtime for MCP server","MCP-compatible client application (Claude Desktop, Cursor, Windsurf, or OpenAI Agents)","Network connectivity to MiniMax API endpoints (https://api.minimaxi.chat or https://api.minimaxi.chat)"],"input_types":["text (plain string, required)","voice_id (string identifier from voice list, required)"],"output_types":["audio file URL (string, when MINIMAX_API_RESOURCE_MODE=url)","local audio file path (string, when MINIMAX_API_RESOURCE_MODE=local)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_1","uri":"capability://tool.use.integration.voice.library.enumeration.and.metadata.retrieval","name":"voice library enumeration and metadata retrieval","description":"Exposes a list_voices MCP tool that queries MiniMax's voice catalog and returns available voice identifiers and metadata. The implementation calls the MiniMax API client's voice listing endpoint, caches results in memory during server runtime, and returns structured voice data (voice IDs, names, language support, characteristics) to enable client-side voice selection UI or programmatic voice filtering. Supports both global and region-specific voice catalogs.","intents":["I need to display available voices to users before they select one for text-to-speech synthesis","I want to programmatically filter voices by language or characteristics for multi-lingual content generation","I need to validate that a requested voice_id exists in MiniMax's catalog before attempting synthesis"],"best_for":["Frontend developers building voice selection UI for MCP-integrated applications","Multi-lingual content generation pipelines that need to match voices to target languages","Agent developers implementing voice selection logic within planning-reasoning chains"],"limitations":["Voice metadata is cached at server startup — new voices added to MiniMax catalog require server restart to reflect","No voice preview or sample audio endpoint — clients cannot audition voices before selection","Voice characteristics (gender, age, accent) are returned as-is from MiniMax API with no standardized schema — parsing requires knowledge of MiniMax's metadata format"],"requires":["MiniMax API key with voice catalog access","Network connectivity to MiniMax API voice listing endpoint","Python 3.9+ for MCP server runtime"],"input_types":[],"output_types":["structured JSON array of voice objects with fields: voice_id, name, language, characteristics"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_10","uri":"capability://tool.use.integration.fastmcp.based.tool.registration.and.schema.exposure","name":"fastmcp-based tool registration and schema exposure","description":"Uses the FastMCP framework to register MiniMax capabilities as discoverable MCP tools with standardized JSON schemas. Each tool is decorated with @mcp.tool and includes parameter definitions, descriptions, and return types that FastMCP automatically exposes to MCP clients. The framework handles schema generation, parameter validation, and error serialization according to MCP specification. Clients can introspect available tools and their schemas without hardcoding tool knowledge.","intents":["I want MCP clients to automatically discover available MiniMax tools without hardcoding tool names","I need tools to have standardized schemas so clients can validate parameters before invocation","I want to add new tools to MiniMax MCP without updating client code"],"best_for":["MCP client developers building generic tool discovery and invocation interfaces","Teams extending MiniMax MCP with new tools using FastMCP patterns","Organizations standardizing on MCP for tool integration"],"limitations":["Tool schemas are static at server startup — schema changes require server restart","FastMCP framework abstracts MCP protocol details — debugging protocol-level issues requires framework knowledge","Parameter validation is basic (type checking) — complex validation logic must be implemented in tool functions","No built-in tool versioning — schema changes may break existing clients"],"requires":["FastMCP framework (included in MiniMax MCP dependencies)","Python 3.9+ for MCP server runtime","MCP-compatible client with tool schema introspection support"],"input_types":[],"output_types":["tool schema (JSON according to MCP specification)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_11","uri":"capability://automation.workflow.error.handling.and.api.failure.resilience.with.fallback.strategies","name":"error handling and api failure resilience with fallback strategies","description":"Implements error handling for MiniMax API failures, network timeouts, and invalid parameters. The server catches API exceptions, validates inputs before invocation, and returns structured error messages to clients according to MCP error specification. Likely includes retry logic for transient failures (network timeouts) and graceful degradation for permanent failures (invalid API keys, quota exceeded). Error messages include diagnostic information to aid debugging.","intents":["I want clear error messages when MiniMax API calls fail so I can debug integration issues","I need the server to retry transient failures (network timeouts) automatically","I want to handle API quota limits gracefully without crashing the server"],"best_for":["Production deployments requiring resilience to transient API failures","Development teams debugging MiniMax API integration issues","Teams operating under API quota constraints"],"limitations":["Retry logic and backoff strategies not documented in DeepWiki — implementation details unknown","Error messages may expose sensitive information (API keys, internal paths) — requires careful logging configuration","No circuit breaker pattern documented — repeated API failures may not trigger graceful degradation","Quota limit handling not specified — behavior when API quota is exceeded is unclear"],"requires":["Python 3.9+ for MCP server runtime","Network connectivity to MiniMax API (for detecting transient vs permanent failures)"],"input_types":[],"output_types":["error message (string with diagnostic information)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_2","uri":"capability://tool.use.integration.voice.cloning.from.audio.samples.with.multi.file.support","name":"voice cloning from audio samples with multi-file support","description":"Implements a voice_clone MCP tool that accepts one or more audio file samples and generates a cloned voice profile in MiniMax's voice synthesis system. The tool handles audio file upload/streaming to the MiniMax API, manages the voice cloning training process (which may be asynchronous), and returns a voice_id for the cloned voice that can be used with text_to_audio. Supports both local file paths and URL-based audio sources depending on client capabilities.","intents":["I want to create a custom voice clone from a speaker's audio samples for personalized content generation","I need to preserve a specific speaker's voice characteristics for long-form video narration or character dialogue","I want to enable end-users to clone their own voices within an MCP-integrated application"],"best_for":["Content creators building personalized video or podcast generation workflows","Enterprise teams needing branded voice synthesis with company spokesperson characteristics","SaaS platforms offering voice cloning as a user-facing feature via MCP integration"],"limitations":["Voice cloning quality depends on input audio quality and duration — MiniMax likely requires minimum sample duration (typically 30+ seconds) not documented in DeepWiki","Cloning process may be asynchronous with variable latency — clients must implement polling or callback handling for completion status","Cloned voices are stored in MiniMax's system with lifecycle management unclear — no documented voice deletion or expiration policies","Audio file size limits not specified — large multi-file uploads may timeout or be rejected"],"requires":["MiniMax API key with voice cloning capability enabled","Audio files in supported formats (MP3, WAV, or other formats supported by MiniMax API)","Network connectivity for audio file upload to MiniMax API","Python 3.9+ for MCP server runtime"],"input_types":["audio file paths (local filesystem paths or URLs)","optional voice name/metadata (string)"],"output_types":["voice_id (string identifier for the cloned voice)","optional training status or completion timestamp"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_3","uri":"capability://tool.use.integration.prompt.driven.video.generation.with.configurable.parameters","name":"prompt-driven video generation with configurable parameters","description":"Implements a generate_video MCP tool that accepts a text prompt and optional generation parameters (duration, resolution, style, etc.) and invokes MiniMax's video generation API. The tool handles prompt validation, parameter marshaling to MiniMax API format, manages the asynchronous video generation process, and returns video URLs or local file paths based on resource mode configuration. Supports polling for generation status and handles long-running generation jobs transparently.","intents":["I want to generate short-form video content from text descriptions for social media or marketing","I need to create visual storyboards or concept videos from narrative prompts without manual video editing","I want to integrate video generation into an automated content pipeline triggered by agent decisions"],"best_for":["Content creators and marketing teams building automated video generation workflows","AI agent developers implementing multi-modal content generation in planning chains","SaaS platforms offering AI video generation as a user-facing feature"],"limitations":["Video generation is asynchronous with variable latency (likely 30+ seconds to minutes) — clients must implement polling or callback handling","Generated video quality and length are constrained by MiniMax's model capabilities — no documentation on maximum duration or resolution","Prompt engineering required for consistent results — complex or ambiguous prompts may produce unexpected video content","Local mode downloads large video files to disk — requires significant storage and bandwidth; URL mode depends on MiniMax CDN availability","No video editing or post-processing capabilities — output is final and cannot be modified through MCP interface"],"requires":["MiniMax API key with video generation capability","Network connectivity to MiniMax video generation API","Python 3.9+ for MCP server runtime","For local mode: sufficient disk space for video files (likely 100MB+ per video)"],"input_types":["prompt (string, required)","duration (integer seconds, optional)","resolution (string like '1080p', optional)","style (string identifier, optional)"],"output_types":["video file URL (string, when MINIMAX_API_RESOURCE_MODE=url)","local video file path (string, when MINIMAX_API_RESOURCE_MODE=local)","generation status/job_id (for polling completion)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_4","uri":"capability://tool.use.integration.text.to.image.generation.with.prompt.based.synthesis","name":"text-to-image generation with prompt-based synthesis","description":"Implements a text_to_image MCP tool that accepts a text prompt and optional generation parameters (style, resolution, aspect ratio, etc.) and invokes MiniMax's image generation API. The tool validates prompts, marshals parameters to API format, handles the image generation process, and returns image URLs or local file paths based on MINIMAX_API_RESOURCE_MODE configuration. Supports batch image generation and style/quality parameters for fine-grained control.","intents":["I want to generate images from text descriptions for blog posts, social media, or marketing materials","I need to create visual assets programmatically within an automated content generation pipeline","I want to generate multiple image variations from a single prompt for A/B testing or concept exploration"],"best_for":["Content creators and marketing teams automating image asset generation","AI agent developers implementing multi-modal content generation workflows","SaaS platforms offering AI image generation as a user-facing feature"],"limitations":["Image generation quality depends on prompt clarity and MiniMax model capabilities — vague prompts produce inconsistent results","Generated images may have copyright or licensing restrictions not documented in DeepWiki — usage rights unclear","No image editing or post-processing through MCP interface — output is final","Batch generation limits not specified — large batch requests may be throttled or rejected","Style and quality parameters are MiniMax-specific with no standardized schema — clients must know valid parameter values"],"requires":["MiniMax API key with image generation capability","Network connectivity to MiniMax image generation API","Python 3.9+ for MCP server runtime"],"input_types":["prompt (string, required)","style (string identifier, optional)","resolution (string like '1024x1024', optional)","aspect_ratio (string like '16:9', optional)","quantity (integer for batch generation, optional)"],"output_types":["image file URL or URLs (string or array, when MINIMAX_API_RESOURCE_MODE=url)","local image file path or paths (string or array, when MINIMAX_API_RESOURCE_MODE=local)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_5","uri":"capability://tool.use.integration.local.audio.playback.for.generated.or.uploaded.audio.files","name":"local audio playback for generated or uploaded audio files","description":"Implements a play_audio MCP tool that plays audio files on the local system where the MCP server is running. The tool accepts a file path (local filesystem path or URL) and invokes the system audio player (likely using Python's subprocess or platform-specific audio libraries). Enables real-time audio preview during development or testing without requiring external audio player applications.","intents":["I want to preview text-to-speech output immediately after generation during development","I need to test voice cloning results before deploying them to production","I want to audition different voices or generation parameters interactively"],"best_for":["Developers testing text-to-speech and voice cloning during development","Content creators previewing generated audio before publishing","QA teams validating audio quality and voice characteristics"],"limitations":["Playback is local to the MCP server machine — not suitable for remote or cloud deployments without audio forwarding","Audio player used depends on system OS and available applications — may fail silently if no audio player is available","No playback control (pause, seek, volume) through MCP interface — only play/stop","Blocking playback may hold MCP server resources during audio duration — concurrent playback requests may queue or fail"],"requires":["Local audio player application (system-dependent: aplay/paplay on Linux, afplay on macOS, Windows Media Player on Windows)","Audio file in supported format (MP3, WAV, or other formats supported by system audio player)","Python 3.9+ for MCP server runtime","Local filesystem access or network connectivity for URL-based audio files"],"input_types":["file_path (string, local filesystem path or URL)"],"output_types":["playback status (string: 'playing', 'completed', or error message)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_6","uri":"capability://tool.use.integration.mcp.transport.abstraction.with.stdio.and.sse.support","name":"mcp transport abstraction with stdio and sse support","description":"Implements a transport layer that abstracts communication between MCP clients and the MiniMax MCP server using two protocols: stdio (standard input/output for local execution) and SSE (Server-Sent Events for network-based deployment). The FastMCP framework handles protocol negotiation, message serialization/deserialization, and connection lifecycle management. Clients can choose transport based on deployment model (local vs cloud) without changing tool implementations.","intents":["I want to run the MiniMax MCP server locally in Claude Desktop or Cursor with direct process communication","I need to deploy the MiniMax MCP server in a cloud environment and connect multiple clients via HTTP","I want to switch between local and cloud deployment without reconfiguring tool implementations"],"best_for":["Developers integrating MiniMax MCP into Claude Desktop or Cursor (stdio transport)","Teams deploying MiniMax MCP as a shared service in cloud environments (SSE transport)","Organizations needing flexible deployment options without code changes"],"limitations":["Stdio transport requires local process execution — not suitable for remote or multi-client scenarios","SSE transport is unidirectional (server-to-client) — bidirectional communication requires additional mechanisms or polling","Transport selection is configured at server startup — cannot switch transports at runtime without restart","No built-in authentication or encryption — SSE transport over HTTP is vulnerable to eavesdropping; requires TLS/HTTPS wrapper"],"requires":["Python 3.9+ for MCP server runtime","For stdio: MCP client with stdio transport support (Claude Desktop, Cursor, Windsurf)","For SSE: HTTP server infrastructure and network connectivity between client and server"],"input_types":["MCP protocol messages (JSON-RPC format)"],"output_types":["MCP protocol responses (JSON-RPC format)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_7","uri":"capability://automation.workflow.dual.mode.resource.handling.with.url.and.local.filesystem.storage","name":"dual-mode resource handling with url and local filesystem storage","description":"Implements a resource handling abstraction controlled by MINIMAX_API_RESOURCE_MODE environment variable that determines how generated media (audio, video, images) is delivered to clients. In 'url' mode (default), the server returns direct URLs to MiniMax CDN resources. In 'local' mode, the server downloads resources to the local filesystem at MINIMAX_MCP_BASE_PATH and returns local file paths. This abstraction allows clients to choose storage strategy (cloud URLs vs local files) without tool implementation changes.","intents":["I want to use generated media directly from MiniMax CDN without storing files locally","I need to download and store generated media locally for offline access or compliance requirements","I want to switch between cloud and local storage strategies without reconfiguring tools"],"best_for":["Cloud-native deployments preferring CDN-hosted resources (url mode)","On-premises or offline-first deployments requiring local file storage (local mode)","Organizations with data residency requirements preventing cloud storage"],"limitations":["URL mode depends on MiniMax CDN availability and uptime — resource links may expire or become unavailable","Local mode requires sufficient disk space and write permissions at MINIMAX_MCP_BASE_PATH — large media files may exhaust storage","Local mode adds download latency after generation completes — clients must wait for file download before accessing resources","No automatic cleanup of local files — disk space must be managed manually or with external scripts","Resource mode is global per server instance — cannot mix url and local modes for different tools or clients"],"requires":["MINIMAX_API_RESOURCE_MODE environment variable set to 'url' or 'local'","For local mode: MINIMAX_MCP_BASE_PATH directory with write permissions","For local mode: sufficient disk space for generated media files","For url mode: network connectivity to MiniMax CDN"],"input_types":[],"output_types":["resource URL (string, when MINIMAX_API_RESOURCE_MODE=url)","local file path (string, when MINIMAX_API_RESOURCE_MODE=local)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_8","uri":"capability://automation.workflow.region.aware.api.endpoint.routing.with.global.and.mainland.china.support","name":"region-aware api endpoint routing with global and mainland china support","description":"Implements API endpoint routing logic that selects between global and mainland China MiniMax API servers based on configuration. The server reads region configuration (likely from environment variables or config files) and routes all API requests to the appropriate endpoint: https://api.minimaxi.chat (global) or https://api.minimax.chat (mainland China). API keys are region-specific and must match the selected endpoint. This abstraction enables single codebase deployment to multiple regions without code changes.","intents":["I want to deploy the MiniMax MCP server in mainland China with local API endpoints","I need to deploy the same MCP server configuration globally and in China without code changes","I want to ensure API requests route to the correct regional endpoint matching my API key"],"best_for":["Teams operating in mainland China requiring local API endpoints","Global organizations with regional deployments needing unified configuration","DevOps teams managing multi-region infrastructure"],"limitations":["API keys are region-specific — using a global API key with mainland China endpoint or vice versa will fail authentication","Region selection is configured at server startup — cannot switch regions at runtime without restart","No automatic region detection — region must be explicitly configured; misconfiguration silently fails with authentication errors","Latency differences between regions not abstracted — mainland China endpoint may have different response times than global"],"requires":["Region configuration (environment variable or config file specifying 'global' or 'mainland-china')","MiniMax API key matching the selected region","Network connectivity to the selected regional API endpoint"],"input_types":[],"output_types":[],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-minimax-ai--minimax-mcp__cap_9","uri":"capability://tool.use.integration.mcp.client.integration.with.claude.desktop.cursor.and.windsurf","name":"mcp client integration with claude desktop, cursor, and windsurf","description":"Provides configuration templates and integration guidance for connecting the MiniMax MCP server to popular MCP-compatible client applications: Claude Desktop, Cursor, and Windsurf. Integration involves adding server configuration (command, arguments, environment variables) to client configuration files (claude_desktop_config.json for Claude Desktop, cursor settings for Cursor, etc.). Once configured, clients automatically discover and invoke all MiniMax tools (text-to-audio, voice-clone, generate-video, text-to-image) without additional setup.","intents":["I want to use MiniMax generation capabilities within Claude Desktop conversations","I need to integrate MiniMax tools into Cursor's AI assistant for code and content generation","I want to enable Windsurf users to access MiniMax generation capabilities"],"best_for":["Claude Desktop users wanting to add MiniMax generation capabilities to conversations","Cursor users integrating MiniMax tools into AI-assisted development workflows","Windsurf users extending AI capabilities with multimedia generation"],"limitations":["Client configuration is manual — requires editing JSON/config files with correct syntax; misconfiguration silently fails","Each client has different configuration format and location — integration steps differ per client","Client updates may change configuration format or location — integration may break after client upgrades","No automatic tool discovery or validation — clients cannot verify server connectivity until first tool invocation"],"requires":["MiniMax MCP server running locally or accessible via network","Claude Desktop 0.x+ (version not specified in DeepWiki) or Cursor or Windsurf with MCP support","Write access to client configuration files (claude_desktop_config.json, cursor settings, etc.)","MiniMax API key configured in server environment"],"input_types":[],"output_types":[],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["MiniMax API key (region-specific: global or mainland China)","Python 3.9+ runtime for MCP server","MCP-compatible client application (Claude Desktop, Cursor, Windsurf, or OpenAI Agents)","Network connectivity to MiniMax API endpoints (https://api.minimaxi.chat or https://api.minimaxi.chat)","MiniMax API key with voice catalog access","Network connectivity to MiniMax API voice listing endpoint","Python 3.9+ for MCP server runtime","FastMCP framework (included in MiniMax MCP dependencies)","MCP-compatible client with tool schema introspection support","Network connectivity to MiniMax API (for detecting transient vs permanent failures)"],"failure_modes":["Voice selection is limited to MiniMax's predefined voice list — no custom voice training without voice cloning capability","Audio output format and bitrate are determined by MiniMax API defaults — no client-side format negotiation","Local mode requires filesystem write permissions and MINIMAX_MCP_BASE_PATH configuration; URL mode depends on MiniMax CDN availability","No streaming audio output — entire audio file must be generated before returning to client","Voice metadata is cached at server startup — new voices added to MiniMax catalog require server restart to reflect","No voice preview or sample audio endpoint — clients cannot audition voices before selection","Voice characteristics (gender, age, accent) are returned as-is from MiniMax API with no standardized schema — parsing requires knowledge of MiniMax's metadata format","Tool schemas are static at server startup — schema changes require server restart","FastMCP framework abstracts MCP protocol details — debugging protocol-level issues requires framework knowledge","Parameter validation is basic (type checking) — complex validation logic must be implemented in tool functions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.4805259399793763,"quality":0.49,"ecosystem":0.6000000000000001,"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":"2026-05-24T12:16:22.062Z","last_scraped_at":"2026-05-03T13:59:47.981Z","last_commit":"2026-04-15T07:03:02Z"},"community":{"stars":1459,"forks":257,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=minimax-ai--minimax-mcp","compare_url":"https://unfragile.ai/compare?artifact=minimax-ai--minimax-mcp"}},"signature":"ep2Ft6dFk26w5PEL76qh9DaMyH8ZoDibTdaHOmFH2vfC2HtBSa7GrxC2KSwOWkyPp/7gsC+lNaUBMIqAPvsYDQ==","signedAt":"2026-06-20T23:44:57.610Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/minimax-ai--minimax-mcp","artifact":"https://unfragile.ai/minimax-ai--minimax-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=minimax-ai--minimax-mcp","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"}}