{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-home-assistant","slug":"home-assistant","name":"Home Assistant","type":"mcp","url":"https://github.com/voska/hass-mcp","page_url":"https://unfragile.ai/home-assistant","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-home-assistant__cap_0","uri":"capability://tool.use.integration.mcp.based.smart.home.device.control.via.natural.language","name":"mcp-based smart home device control via natural language","description":"Exposes Home Assistant device control through MCP tools (entity_action, call_service_tool) that translate natural language requests into structured Home Assistant service calls. The FastMCP server acts as a protocol bridge, accepting tool invocations from LLM clients and routing them to Home Assistant's REST API with proper authentication via long-lived access tokens. Supports arbitrary service calls across all Home Assistant domains (lights, climate, switches, etc.) with parameter validation and response formatting optimized for token efficiency.","intents":["Control smart home devices (lights, thermostats, locks) through conversational AI without writing automation rules","Execute arbitrary Home Assistant services programmatically from an LLM agent","Build voice-controlled or chat-based smart home interfaces backed by Home Assistant","Delegate device control decisions to an AI assistant while maintaining Home Assistant as the source of truth"],"best_for":["AI assistant developers building smart home integrations (Claude, ChatGPT plugins)","Home automation enthusiasts wanting natural language control without coding","Teams building multi-modal smart home interfaces (voice + chat + mobile)"],"limitations":["Requires Home Assistant instance to be network-accessible from MCP server (no local-only deployments without reverse proxy)","Service call validation depends on Home Assistant's schema exposure — complex services with nested parameters may require manual prompt engineering","No built-in rate limiting or command queuing — rapid successive commands may overwhelm Home Assistant or cause race conditions","Authentication relies on long-lived tokens with no rotation mechanism — token compromise grants full Home Assistant access"],"requires":["Home Assistant 2023.12+ with REST API enabled","Long-lived access token generated in Home Assistant UI","HA_URL environment variable pointing to Home Assistant instance (http://homeassistant.local:8123 or similar)","HA_TOKEN environment variable with valid authentication token","Network connectivity between MCP server and Home Assistant instance"],"input_types":["structured tool invocations (entity_id, service, service_data as JSON)","natural language requests (processed by LLM client into tool calls)"],"output_types":["JSON service call responses from Home Assistant","success/failure status with error messages","device state changes reflected in Home Assistant"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_1","uri":"capability://search.retrieval.entity.state.querying.and.discovery.with.natural.language.search","name":"entity state querying and discovery with natural language search","description":"Implements entity discovery through MCP tools (list_entities, get_entity, entity search) that query Home Assistant's entity registry and state store, returning filtered results based on domain, name, or semantic matching. The search capability uses natural language processing to map user queries (e.g., 'all lights in the bedroom') to entity filters, leveraging Home Assistant's entity metadata (friendly_name, domain, attributes) for intelligent matching. Results are formatted as structured data with current state, attributes, and available actions to minimize token usage in LLM context.","intents":["Discover what smart home devices are available without manual Home Assistant UI navigation","Query current state of specific devices or device groups (all lights, kitchen sensors, etc.)","Find entities by natural language description rather than exact entity IDs","Build dynamic device lists for LLM agents to reference in decision-making"],"best_for":["LLM agents that need to understand available devices before executing commands","Smart home dashboards that dynamically populate device lists from Home Assistant","Troubleshooting workflows that require visibility into all configured entities"],"limitations":["Search relies on entity metadata (friendly_name, domain) — poorly named entities will not be discoverable by natural language","No full-text search across entity attributes — only domain, name, and basic attribute filtering supported","Entity discovery returns all entities regardless of user permissions — no per-user entity filtering or privacy controls","Search results include disabled/unavailable entities — clients must filter these manually for clean UX"],"requires":["Home Assistant instance with entity registry populated (automatic after device discovery)","HA_URL and HA_TOKEN environment variables configured","Entities must have meaningful friendly_name attributes for natural language search to work effectively"],"input_types":["entity domain filters (light, sensor, climate, etc.)","natural language queries (processed by LLM into structured filters)","entity_id strings for direct lookups"],"output_types":["JSON array of entity objects with state, attributes, and available services","domain summaries (count of entities per device type)","search result rankings with match confidence"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_2","uri":"capability://planning.reasoning.automation.creation.and.management.with.guided.workflows","name":"automation creation and management with guided workflows","description":"Provides MCP prompts (create_automation, debug_automation, troubleshoot_entity) that guide LLM clients through multi-step automation workflows using Home Assistant's automation framework. The system exposes automation listing, state queries, and service call capabilities that enable LLMs to both read existing automations and construct new ones by composing triggers, conditions, and actions. Guided prompts structure the conversation to elicit necessary parameters (trigger type, condition logic, action service calls) and validate them against Home Assistant's automation schema before execution.","intents":["Create new automations through conversational guidance without writing YAML","Debug why existing automations are not triggering or executing","Suggest automation improvements based on device state patterns and usage history","Migrate manual device control workflows into persistent automations"],"best_for":["Non-technical smart home users who want to automate routines without learning YAML syntax","LLM-powered smart home assistants that proactively suggest automations based on user behavior","Home automation communities building shared automation templates"],"limitations":["Automation creation requires understanding Home Assistant's trigger/condition/action schema — complex logic (nested conditions, template sensors) may exceed LLM reasoning capability","No rollback mechanism — failed automation deployments require manual cleanup in Home Assistant UI","Guided workflows are conversational only — no programmatic automation generation from structured specs","Automation testing is limited to state queries — no simulation or dry-run capability before deployment"],"requires":["Home Assistant 2023.12+ with automation platform enabled","HA_URL and HA_TOKEN environment variables configured","LLM client with multi-turn conversation support (Claude, GPT-4, etc.)","User familiarity with basic automation concepts (triggers, conditions, actions)"],"input_types":["natural language automation descriptions (e.g., 'turn on lights when motion detected after sunset')","existing automation entity_ids for debugging","device state history for pattern analysis"],"output_types":["automation YAML configuration (generated by LLM, deployed via Home Assistant API)","automation execution logs and trigger history","debugging suggestions based on automation state and recent triggers"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_3","uri":"capability://data.processing.analysis.historical.state.analysis.and.trend.detection","name":"historical state analysis and trend detection","description":"Exposes Home Assistant's history API through MCP tools and resources to retrieve historical state data for entities, enabling trend analysis, pattern detection, and usage optimization suggestions. The system queries Home Assistant's state history database (typically SQLite or external database) to return time-series data for sensors, switches, and other stateful entities. LLM clients can analyze this data to identify patterns (peak usage times, recurring failures, anomalies) and suggest automations or optimizations based on observed behavior.","intents":["Analyze energy consumption patterns to suggest automation-based optimizations","Detect recurring device failures or anomalies in sensor readings","Identify peak usage times for climate control or lighting to optimize schedules","Generate usage reports and trend summaries for smart home analytics"],"best_for":["Energy-conscious users optimizing smart home efficiency through data-driven insights","Troubleshooting workflows that correlate device failures with system events","Smart home analytics platforms building usage dashboards and recommendations"],"limitations":["History data availability depends on Home Assistant's history retention settings — default is 10 days, older data is purged","Query performance degrades with large time ranges or high-frequency sensors — no built-in pagination or sampling","State history does not include automation trigger reasons or service call parameters — only state changes are recorded","Trend analysis requires LLM reasoning over raw time-series data — no built-in statistical functions or anomaly detection"],"requires":["Home Assistant 2023.12+ with history component enabled","HA_URL and HA_TOKEN environment variables configured","Sufficient history retention configured in Home Assistant (default 10 days)","Entities must have state changes recorded — sensors with infrequent updates may have sparse history"],"input_types":["entity_id for history queries","time range specifications (start_time, end_time)","optional filters for state values or attribute changes"],"output_types":["JSON array of state change events with timestamps and state values","aggregated statistics (min, max, average for numeric states)","trend analysis and pattern suggestions from LLM reasoning"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_4","uri":"capability://planning.reasoning.system.diagnostics.and.troubleshooting.with.error.log.access","name":"system diagnostics and troubleshooting with error log access","description":"Exposes Home Assistant system logs and error diagnostics through MCP tools (debug_automation, troubleshoot_entity) that enable LLM clients to diagnose why devices or automations are not functioning. The system retrieves recent error logs, automation trigger history, and entity state change logs from Home Assistant, correlating them to identify root causes (missing integrations, authentication failures, service timeouts, etc.). Troubleshooting prompts guide users through diagnostic workflows by asking targeted questions and analyzing logs to narrow down failure modes.","intents":["Diagnose why a device is unavailable or not responding to commands","Identify why an automation is not triggering despite meeting conditions","Understand error messages from Home Assistant integrations","Troubleshoot connectivity issues between Home Assistant and smart home devices"],"best_for":["Home automation enthusiasts troubleshooting device connectivity and automation failures","Smart home support teams diagnosing customer issues remotely","LLM agents proactively monitoring Home Assistant health and alerting users to problems"],"limitations":["Log access is read-only — cannot modify Home Assistant configuration or restart services directly (only via call_service_tool for restart service)","Error logs may contain sensitive information (API keys, personal device names) — no built-in redaction or privacy filtering","Troubleshooting relies on log analysis and pattern matching — complex issues requiring deep integration knowledge may exceed LLM reasoning","No real-time log streaming — only historical logs available, missing live events during diagnosis"],"requires":["Home Assistant 2023.12+ with logging enabled","HA_URL and HA_TOKEN environment variables configured","Sufficient log retention in Home Assistant (default is recent logs only)","LLM client with multi-turn conversation support for guided troubleshooting"],"input_types":["entity_id or automation_id for targeted diagnostics","time range for log filtering","natural language problem descriptions"],"output_types":["filtered error logs relevant to the entity or automation","automation trigger history and last execution status","diagnostic suggestions and remediation steps"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_5","uri":"capability://tool.use.integration.multi.client.mcp.server.orchestration.with.standardized.configuration","name":"multi-client mcp server orchestration with standardized configuration","description":"Implements a FastMCP server that exposes Home Assistant capabilities through standardized MCP protocol interfaces (tools, resources, prompts), enabling multiple LLM clients (Claude, ChatGPT, custom agents) to connect via a single configuration. The server uses environment-based configuration (HA_URL, HA_TOKEN) to manage Home Assistant connectivity and exposes a consistent tool/resource/prompt schema that clients discover via MCP handshake. This abstraction decouples client implementations from Home Assistant API details, allowing clients to interact through high-level semantic operations.","intents":["Connect multiple LLM clients to a single Home Assistant instance without duplicating integration code","Standardize smart home capabilities across different AI platforms (Claude, ChatGPT, custom agents)","Deploy Home Assistant integrations as a managed MCP service accessible to multiple applications","Enable AI assistants to discover available smart home operations through MCP schema without hardcoding"],"best_for":["Teams deploying Home Assistant integrations across multiple LLM platforms","MCP client developers building smart home features without Home Assistant expertise","Organizations standardizing smart home AI integrations across enterprise applications"],"limitations":["Single Home Assistant instance per MCP server — no built-in multi-instance load balancing or failover","Configuration is environment-based only — no runtime configuration updates without server restart","No client-level access control — all connected clients have equal permissions to Home Assistant","MCP protocol overhead adds latency compared to direct Home Assistant API calls (typically 50-200ms per request)"],"requires":["Python 3.9+ runtime environment","FastMCP framework (installed via pip from pyproject.toml)","Home Assistant 2023.12+ instance with REST API enabled","HA_URL and HA_TOKEN environment variables configured","MCP client support (Claude, ChatGPT, or custom MCP-compatible application)"],"input_types":["MCP tool invocations with structured parameters","MCP resource requests with URI paths","MCP prompt requests with optional arguments"],"output_types":["MCP tool results with structured JSON responses","MCP resource content (entity data, search results, etc.)","MCP prompt guidance text for conversational workflows"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_6","uri":"capability://data.processing.analysis.domain.specific.entity.summaries.and.overview.generation","name":"domain-specific entity summaries and overview generation","description":"Generates high-level summaries of entity groups by domain (all lights, all sensors, all climate devices) through MCP resources and tools that aggregate entity state and metadata. The system queries Home Assistant's entity registry to group entities by domain, retrieves current state for each entity, and formats results as structured summaries that LLM clients can use for context-aware decision making. Summaries include entity counts, state distributions (e.g., 3 lights on, 2 lights off), and available actions per domain to minimize token usage in LLM context windows.","intents":["Get a quick overview of all devices in a specific category (lights, sensors, switches) without listing every entity","Understand the current state distribution across device types (how many lights are on, how many sensors are offline)","Provide LLM agents with domain-level context for decision making (e.g., 'all lights are off, so turning on the living room light')","Generate natural language summaries of smart home status for voice assistants or dashboards"],"best_for":["Voice assistants providing quick smart home status summaries","LLM agents making domain-level decisions without analyzing individual entities","Smart home dashboards showing aggregated device status by category"],"limitations":["Summaries are static snapshots — no real-time updates or streaming state changes","Aggregation is domain-based only — no custom grouping by room, floor, or user-defined categories","State distribution counts are approximate — unavailable or disabled entities may skew counts","No filtering by entity attributes — all entities in a domain are included regardless of relevance"],"requires":["Home Assistant 2023.12+ with entity registry populated","HA_URL and HA_TOKEN environment variables configured","Entities must be properly categorized by domain in Home Assistant"],"input_types":["domain filter (light, sensor, climate, switch, etc.)","optional state filters (on/off, available/unavailable)"],"output_types":["JSON summary object with entity counts, state distribution, and available actions","natural language summary text for voice assistants","entity list grouped by state for detailed inspection"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-home-assistant__cap_7","uri":"capability://safety.moderation.long.lived.token.based.authentication.with.home.assistant.rest.api","name":"long-lived token-based authentication with home assistant rest api","description":"Implements secure authentication to Home Assistant using long-lived access tokens passed via HA_TOKEN environment variable, which are included in HTTP Authorization headers for all API requests. The system uses standard HTTP Bearer token authentication (Authorization: Bearer {token}) to authenticate requests to Home Assistant's REST API endpoints. Token management is delegated to Home Assistant's user interface — the MCP server does not generate or rotate tokens, only consumes them from environment configuration.","intents":["Securely authenticate MCP server to Home Assistant without storing plaintext credentials","Enable Home Assistant to track which API client is making requests for audit logging","Support multiple MCP server instances with different Home Assistant access levels via separate tokens","Maintain Home Assistant's native authentication and authorization model"],"best_for":["Production deployments requiring secure Home Assistant API access","Multi-tenant environments where different MCP servers need different permission levels","Organizations with security policies requiring token-based authentication"],"limitations":["Tokens are long-lived with no automatic rotation — token compromise grants full Home Assistant access until manually revoked","No built-in token refresh mechanism — tokens must be manually regenerated in Home Assistant UI if compromised","Environment variable storage is not encrypted — tokens are visible to any process with access to environment variables","No per-request rate limiting or quota enforcement — Home Assistant applies global rate limits only"],"requires":["Home Assistant 2023.12+ with REST API enabled","Long-lived access token generated in Home Assistant UI (Settings > Devices & Services > Create Token)","HA_TOKEN environment variable set with valid token value","Network connectivity to Home Assistant instance with HTTPS support (recommended for production)"],"input_types":["HA_TOKEN environment variable containing long-lived access token"],"output_types":["HTTP Authorization headers with Bearer token","authenticated API responses from Home Assistant"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Home Assistant 2023.12+ with REST API enabled","Long-lived access token generated in Home Assistant UI","HA_URL environment variable pointing to Home Assistant instance (http://homeassistant.local:8123 or similar)","HA_TOKEN environment variable with valid authentication token","Network connectivity between MCP server and Home Assistant instance","Home Assistant instance with entity registry populated (automatic after device discovery)","HA_URL and HA_TOKEN environment variables configured","Entities must have meaningful friendly_name attributes for natural language search to work effectively","Home Assistant 2023.12+ with automation platform enabled","LLM client with multi-turn conversation support (Claude, GPT-4, etc.)"],"failure_modes":["Requires Home Assistant instance to be network-accessible from MCP server (no local-only deployments without reverse proxy)","Service call validation depends on Home Assistant's schema exposure — complex services with nested parameters may require manual prompt engineering","No 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