| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Enables remote control of Spotify playback (play, pause, skip, previous) through the Model Context Protocol, translating natural language commands from Claude/Cursor into Spotify Web API calls. Implements MCP tool handlers that map user intents to Spotify API endpoints, managing authentication state and error handling for playback state changes.
Unique: Integrates Spotify Web API playback control directly into MCP protocol, allowing Claude to control music without external webhooks or polling — uses Spotify's native device targeting to route commands to active playback devices
vs alternatives: More seamless than browser extensions or CLI tools because it operates within Claude's native MCP context, eliminating context-switching and providing real-time playback state feedback
Manages Spotify playback queue by adding tracks, removing queued items, and reordering the queue through MCP tool calls. Implements queue state tracking and provides visibility into upcoming tracks, allowing Claude to intelligently sequence music based on user preferences or context.
Unique: Provides MCP-native queue manipulation without requiring direct Spotify app interaction, using Spotify's add-to-queue and device-specific queue endpoints to maintain state across Claude sessions
vs alternatives: More flexible than Spotify's native queue UI because Claude can programmatically add/remove tracks based on context, mood, or time of day — no manual clicking required
Controls playback volume across Spotify devices and switches active playback between devices (speakers, headphones, etc.) through MCP tool calls. Implements device enumeration to discover available Spotify devices and volume adjustment via Spotify Web API, with real-time state synchronization.
Unique: Enumerates and controls Spotify Connect devices through MCP, allowing Claude to discover available playback targets and switch between them without manual device selection in the Spotify app
vs alternatives: Simpler than building custom Spotify Connect integrations because it leverages Spotify's native device API — no need to implement device discovery or pairing logic
Creates new playlists, adds/removes tracks from existing playlists, and modifies playlist metadata (name, description, public/private status) through MCP tool calls. Implements playlist CRUD operations via Spotify Web API with support for batch operations and playlist state tracking.
Unique: Provides MCP-native playlist CRUD operations, allowing Claude to create and manage playlists as part of multi-step workflows without context-switching to the Spotify app
vs alternatives: More programmatic than Spotify's UI because Claude can create playlists based on mood, time of day, or conversation context — enables dynamic playlist generation that adapts to user needs
Retrieves real-time playback state including current track, artist, album, progress, duration, and device information through MCP tool calls. Implements polling of Spotify Web API's currently-playing endpoint with state caching to minimize API calls and provide fast context to Claude.
Unique: Exposes Spotify's currently-playing endpoint through MCP, enabling Claude to maintain awareness of playback context and make music-aware decisions within conversations
vs alternatives: More contextually aware than static playlist tools because Claude can see what's actually playing and adapt responses based on current track metadata
Searches Spotify's catalog for tracks, artists, albums, and playlists using natural language queries, then resolves results to Spotify URIs for use in other operations. Implements Spotify Web API search endpoint with fuzzy matching and result ranking to handle ambiguous user queries.
Unique: Integrates Spotify's search API through MCP, allowing Claude to resolve natural language music queries to Spotify URIs without requiring users to manually copy-paste URIs
vs alternatives: More user-friendly than URI-based APIs because Claude can understand 'play that song from the 90s with the guitar riff' and resolve it to the correct track
Handles Spotify OAuth2 authentication flow, token refresh, and credential management to maintain persistent access to Spotify Web API. Implements secure token storage and automatic refresh logic to ensure MCP server can operate without manual re-authentication.
Unique: Implements OAuth2 token refresh within MCP server lifecycle, enabling persistent Spotify API access without requiring users to manually re-authenticate or manage tokens
vs alternatives: More secure than hardcoding API keys because it uses OAuth2 with refresh tokens, limiting exposure if credentials are compromised
Registers Spotify control functions as MCP tools with proper schema definitions, parameter validation, and error handling. Implements MCP tool handler pattern to route Claude's tool calls to appropriate Spotify API endpoints with automatic request/response serialization.
Unique: Implements MCP tool handler pattern for Spotify API, allowing Claude to call Spotify functions with proper schema validation and error handling without direct API knowledge
vs alternatives: More robust than direct API calls because MCP provides schema validation and structured error handling, preventing malformed requests from reaching Spotify
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs Spotify Player at 21/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
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