{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_argotdev-spotify-mcp-py","slug":"argotdev-spotify-mcp-py","name":"spotify-mcp-py","type":"mcp","url":"https://github.com/argotdev/spotify-mcp-py","page_url":"https://unfragile.ai/argotdev-spotify-mcp-py","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:argotdev/spotify-mcp-py"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_argotdev-spotify-mcp-py__cap_0","uri":"capability://tool.use.integration.mcp.server.integration.for.spotify","name":"mcp server integration for spotify","description":"This capability allows for seamless integration with Spotify's API using the Model Context Protocol (MCP). It utilizes a modular architecture that enables the server to handle multiple contexts and requests concurrently, allowing for efficient data retrieval and manipulation from Spotify. The design leverages asynchronous programming patterns to ensure responsiveness and scalability, making it suitable for high-demand applications.","intents":["How can I integrate Spotify data into my application using MCP?","What is the best way to manage multiple Spotify API requests concurrently?","How do I set up a server that communicates with Spotify via MCP?"],"best_for":["developers building applications that require Spotify data integration"],"limitations":["Limited to Spotify API functionalities; does not support other music services","Requires stable internet connection for API calls"],"requires":["Python 3.7+","MCP library compatible with the server"],"input_types":["API requests","JSON payloads"],"output_types":["JSON responses","structured data"],"categories":["tool-use-integration","music-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_argotdev-spotify-mcp-py__cap_1","uri":"capability://memory.knowledge.contextual.data.handling","name":"contextual data handling","description":"This capability allows the MCP server to manage and maintain context across multiple interactions with Spotify. It employs a context management system that stores user sessions and preferences, enabling personalized experiences. The implementation uses a lightweight database to persist context data, ensuring quick access and updates during API interactions.","intents":["How can I maintain user session data while interacting with Spotify?","What is the best way to personalize Spotify API responses based on user preferences?","How do I implement context management in my MCP server?"],"best_for":["developers creating personalized music applications"],"limitations":["Context persistence is limited to the session duration; requires external storage for long-term persistence","Database integration may add complexity"],"requires":["SQLite or similar database for context storage","Python 3.7+"],"input_types":["user preferences","session data"],"output_types":["contextualized API responses","session updates"],"categories":["memory-knowledge","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_argotdev-spotify-mcp-py__cap_2","uri":"capability://automation.workflow.asynchronous.request.handling","name":"asynchronous request handling","description":"This capability enables the server to process multiple requests to the Spotify API simultaneously without blocking other operations. It employs Python's asyncio library to manage I/O-bound tasks, allowing for efficient handling of high volumes of requests. This approach minimizes latency and maximizes throughput, making it ideal for applications with heavy API usage.","intents":["How can I optimize my application to handle multiple Spotify API requests at once?","What techniques can I use to reduce latency in API interactions?","How do I implement asynchronous request handling in my MCP server?"],"best_for":["developers building high-performance applications that require rapid API interactions"],"limitations":["Complexity in error handling due to concurrent operations","Requires understanding of asynchronous programming"],"requires":["Python 3.7+","asyncio library"],"input_types":["API requests","JSON payloads"],"output_types":["JSON responses","structured data"],"categories":["automation-workflow","performance-optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_argotdev-spotify-mcp-py__cap_3","uri":"capability://tool.use.integration.dynamic.api.endpoint.routing","name":"dynamic api endpoint routing","description":"This capability allows the MCP server to dynamically route requests to the appropriate Spotify API endpoints based on the context and content of the incoming request. It uses a routing table that maps user intents to specific API calls, ensuring that requests are handled efficiently and accurately. This design pattern enhances maintainability and scalability by allowing easy updates to routing logic without affecting the core server functionality.","intents":["How can I route different types of requests to the correct Spotify API endpoints?","What is the best way to manage API endpoint changes in my application?","How do I implement dynamic routing in my MCP server?"],"best_for":["developers needing flexible API routing for various Spotify services"],"limitations":["Routing logic can become complex with many endpoints","Requires thorough documentation to maintain clarity"],"requires":["Python 3.7+","MCP library"],"input_types":["API requests","user intents"],"output_types":["API responses","structured data"],"categories":["tool-use-integration","api-management"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["Python 3.7+","MCP library compatible with the server","SQLite or similar database for context storage","asyncio library","MCP library"],"failure_modes":["Limited to Spotify API functionalities; does not support other music services","Requires stable internet connection for API calls","Context persistence is limited to the session duration; requires external storage for long-term persistence","Database integration may add complexity","Complexity in error handling due to concurrent operations","Requires understanding of asynchronous programming","Routing logic can become complex with many endpoints","Requires thorough documentation to maintain clarity","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.18,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.6,"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":"2026-05-03T15:19:37.910Z","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=argotdev-spotify-mcp-py","compare_url":"https://unfragile.ai/compare?artifact=argotdev-spotify-mcp-py"}},"signature":"EZHA0m7qr4l4LKP25UDfPivVwR4yKULTryK5xx5BYnc0mbs7ly6ZwWvgnNpSLWlN0wsnyFeSA6097UtSDUaZCQ==","signedAt":"2026-06-22T09:15:17.003Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/argotdev-spotify-mcp-py","artifact":"https://unfragile.ai/argotdev-spotify-mcp-py","verify":"https://unfragile.ai/api/v1/verify?slug=argotdev-spotify-mcp-py","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"}}