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| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 11 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Translates natural language requests from LLMs into Home Assistant service calls through the Model Context Protocol (MCP) interface. The server exposes a tool registry that LLMs can discover and invoke, with each tool mapping to Home Assistant entity services (lights, climate, switches, covers, locks, vacuums, media players, fans). Requests flow through Express/LiteMCP servers, pass through token-based security validation middleware, and route to Home Assistant REST API endpoints with long-lived access tokens.
Unique: Implements MCP protocol as a first-class integration pattern rather than REST-only wrapper, enabling LLMs to discover and invoke Home Assistant tools through standardized schema-based function calling with native support for both Express and LiteMCP server transports
vs alternatives: Provides standardized MCP tool discovery and invocation vs custom REST wrappers, enabling seamless integration with Claude and other MCP-compatible LLMs without custom prompt engineering
Establishes persistent Server-Sent Events (SSE) connections that stream Home Assistant state changes to connected clients in real-time. The server maintains WebSocket connections to Home Assistant, listens for state_changed events, and broadcasts updates to all subscribed SSE clients with entity_id, old_state, new_state, and timestamp metadata. This enables LLM agents to maintain current awareness of home state without polling.
Unique: Bridges Home Assistant WebSocket events directly to SSE clients, providing real-time state propagation without polling or custom event subscription logic, enabling LLMs to maintain contextual awareness of home state changes
vs alternatives: Eliminates polling overhead vs REST-based state queries, providing sub-second state update latency while reducing server load through event-driven architecture
Implements entity type-specific control logic that maps generic control requests to Home Assistant service calls with appropriate parameters. For example, light control maps brightness/color requests to light.turn_on service with brightness/rgb_color parameters; climate control maps temperature requests to climate.set_temperature service. Each entity type (light, climate, switch, cover, lock, vacuum, media_player, fan) has dedicated control logic that validates parameters and constructs correct service calls. This abstraction hides Home Assistant service complexity from LLMs.
Unique: Implements entity type-specific control logic that abstracts Home Assistant service complexity, mapping generic control requests to correct services with parameter validation
vs alternatives: Provides device-type-aware control vs generic service calling, enabling LLMs to control diverse devices through simplified interfaces without service-level knowledge
Provides endpoints to query current state of Home Assistant entities (devices, sensors, automations) and returns structured JSON responses with entity_id, state, attributes, and last_updated metadata. The server maintains a cached view of all Home Assistant entities and supports filtering by entity type (light, climate, switch, sensor, etc.). Responses are formatted to be LLM-friendly with human-readable state values and attribute descriptions.
Unique: Formats Home Assistant entity state responses specifically for LLM consumption with human-readable attributes and type-specific metadata, enabling agents to reason about device state without custom parsing logic
vs alternatives: Provides LLM-optimized state formatting vs raw Home Assistant REST API responses, reducing token overhead and improving reasoning accuracy through structured context injection
Enables creation, modification, triggering, and management of Home Assistant automations and scenes through MCP tools. Supports complex automation configurations including triggers (time, state, event), conditions (templates, state checks), and actions (service calls, scene activation). The server translates LLM requests into Home Assistant automation YAML/JSON and manages automation lifecycle (enable/disable/trigger). Scenes can be created from current state snapshots or manually configured.
Unique: Translates natural language automation descriptions into Home Assistant automation YAML with support for complex trigger/condition/action chains, enabling LLMs to create sophisticated automations without manual configuration
vs alternatives: Abstracts Home Assistant automation YAML complexity through LLM-friendly tool interfaces vs requiring users to write YAML manually, enabling non-technical users to create complex automations
Provides tools to browse, install, uninstall, start, stop, and configure Home Assistant add-ons and custom integrations through Home Assistant Community Store (HACS). The server exposes add-on discovery endpoints, installation status tracking, and configuration management. Supports both official Home Assistant add-ons and community-maintained packages. Configuration changes trigger add-on restarts and validate settings before application.
Unique: Integrates Home Assistant Supervisor add-on management with HACS community package discovery through a unified MCP interface, enabling LLM agents to extend Home Assistant capabilities dynamically
vs alternatives: Automates add-on discovery and installation vs manual UI-based management, enabling programmatic Home Assistant capability expansion through LLM agents
Implements security middleware that validates long-lived access tokens on all incoming requests before routing to Home Assistant. Tokens are validated against Home Assistant's token store, and requests without valid tokens are rejected with 401 Unauthorized responses. The middleware applies to all endpoints (device control, state queries, automation management) and prevents unauthorized access to Home Assistant. Token validation happens synchronously before request processing.
Unique: Implements synchronous token validation middleware that blocks unauthorized requests before Home Assistant API calls, preventing token-less access to smart home control
vs alternatives: Provides request-level authentication vs relying solely on Home Assistant token validation, adding a security layer that prevents misconfigured MCP servers from exposing Home Assistant
Maintains a registry of all available MCP tools (device control, state queries, automation management, add-on management) with JSON Schema definitions for parameters and return types. The tool registry is exposed through MCP protocol endpoints, enabling LLMs to discover available tools, understand parameter requirements, and validate tool invocations against schemas. Each tool includes description, parameter schema, and example usage. LLMs use this registry to determine which tools to invoke for user requests.
Unique: Exposes Home Assistant entities as discoverable MCP tools with JSON Schema validation, enabling LLMs to understand available capabilities and validate parameters before invocation
vs alternatives: Provides schema-based tool discovery vs hardcoded tool lists, enabling dynamic capability exposure as Home Assistant configuration changes
+3 more capabilities
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.
Home Assistant MCP Server scores higher at 60/100 vs Supabase at 42/100.
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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
+1 more capabilities