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The server translates MCP tool calls into ElevenLabs HTTP requests, handles authentication via API key, and streams or returns audio file references. Implements the Model Context Protocol's tool-calling interface to bridge LLM agents with ElevenLabs' neural TTS engine.","intents":["I want my Claude agent to generate spoken audio from text without writing custom API code","I need to add voice synthesis capabilities to an MCP-compatible application","I want to chain text generation (from Claude) directly into audio generation in a single workflow"],"best_for":["AI agents and assistants built on Claude or other MCP-compatible LLMs","Teams building multi-modal applications that combine text and speech","Developers integrating ElevenLabs into existing MCP server ecosystems"],"limitations":["Requires valid ElevenLabs API key with sufficient quota — no fallback to free tier or alternative providers","Audio output format and quality depend entirely on ElevenLabs' current API capabilities — no local synthesis option","MCP protocol overhead adds latency compared to direct API calls — not suitable for real-time streaming use cases","No built-in caching of synthesized audio — repeated requests for identical text will incur API costs"],"requires":["ElevenLabs API key (free or paid account)","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","Network connectivity to ElevenLabs API endpoints"],"input_types":["text (plain string or formatted text)","voice ID (ElevenLabs voice identifier)","optional parameters (stability, similarity_boost, style, use_speaker_boost)"],"output_types":["audio file (MP3 or other format depending on ElevenLabs API)","audio URL or file reference","structured metadata (duration, voice info, synthesis parameters)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-elevenlabs-mcp__cap_1","uri":"capability://tool.use.integration.voice.selection.and.management.via.mcp","name":"voice selection and management via mcp","description":"Provides MCP tools to list available ElevenLabs voices, retrieve voice metadata (name, language, accent, preview audio), and select voices for synthesis. The server queries ElevenLabs' voice API endpoint and exposes voice information as structured data, allowing agents to programmatically choose voices based on language, gender, or other attributes without hardcoding voice IDs.","intents":["I want my agent to dynamically select a voice based on the target language or speaker characteristics","I need to list all available voices and their properties so users can choose one","I want to validate that a voice ID exists before attempting synthesis"],"best_for":["Multi-language applications requiring voice selection logic","Interactive applications where users browse and select voices","Agents that need to adapt voice selection based on content or context"],"limitations":["Voice list is cached at server startup — new voices added to ElevenLabs won't appear until server restart","No filtering or search functionality built into the MCP tool — clients must implement their own voice selection logic","Voice metadata (accent, language) is only as accurate as ElevenLabs' API response — no validation or enrichment"],"requires":["ElevenLabs API key with voice listing permissions","MCP client capable of calling tools and processing structured responses"],"input_types":["optional filters (language, gender, accent — if supported by ElevenLabs API)"],"output_types":["structured list of voice objects","voice metadata (ID, name, language, gender, accent, preview URL)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-elevenlabs-mcp__cap_2","uri":"capability://tool.use.integration.mcp.protocol.server.implementation.for.elevenlabs","name":"mcp protocol server implementation for elevenlabs","description":"Implements the Model Context Protocol (MCP) server specification, exposing ElevenLabs capabilities as standardized MCP tools and resources. The server handles MCP initialization, tool registration, request routing, and error handling according to the MCP specification. It acts as a bridge between MCP clients (like Claude) and the ElevenLabs API, translating MCP calls into ElevenLabs HTTP requests and returning results in MCP-compliant format.","intents":["I want to add ElevenLabs to my MCP server ecosystem without writing protocol boilerplate","I need a standards-compliant MCP server that works with Claude and other MCP clients","I want to extend this server with additional ElevenLabs capabilities or other integrations"],"best_for":["Developers building MCP server ecosystems","Teams standardizing on MCP for LLM integrations","Organizations using Claude with MCP as their primary integration pattern"],"limitations":["MCP protocol version compatibility depends on server implementation — may not support all MCP features (e.g., resources, sampling)","No built-in rate limiting or quota management — relies on ElevenLabs API rate limits","Error handling and retry logic may be minimal — transient failures could cause agent failures without graceful degradation","Server state is ephemeral — no persistence of tool calls, results, or audit logs"],"requires":["Node.js or Python runtime (depending on implementation language)","MCP SDK or library for the chosen language","ElevenLabs API key"],"input_types":["MCP protocol messages (tool calls, resource requests)"],"output_types":["MCP protocol responses (tool results, resource data, errors)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-elevenlabs-mcp__cap_3","uri":"capability://tool.use.integration.audio.generation.with.configurable.synthesis.parameters","name":"audio generation with configurable synthesis parameters","description":"Exposes ElevenLabs TTS synthesis parameters (stability, similarity_boost, style, use_speaker_boost) as configurable MCP tool inputs, allowing agents to fine-tune voice characteristics and synthesis behavior. The server passes these parameters directly to the ElevenLabs API, enabling control over voice consistency, emotional tone, and speaker emphasis without requiring multiple API calls or voice cloning.","intents":["I want to adjust voice stability and similarity for different use cases (e.g., consistent vs. expressive)","I need to control emotional tone or style in synthesized speech","I want to enable speaker boost for more natural-sounding output"],"best_for":["Applications requiring fine-grained control over voice characteristics","Agents that adapt synthesis parameters based on content type or context","Teams experimenting with different voice settings for quality optimization"],"limitations":["Parameter support depends on ElevenLabs API version — older API versions may not support all parameters","No validation or guidance on optimal parameter ranges — agents must know valid values or experiment","Parameter effects are not deterministic across different voices — tuning for one voice may not transfer to another","No A/B testing or comparison tools built into the MCP server"],"requires":["ElevenLabs API key with access to advanced synthesis parameters","MCP client capable of passing structured parameters to tools"],"input_types":["stability (float, typically 0.0-1.0)","similarity_boost (float, typically 0.0-1.0)","style (enum or string, depending on ElevenLabs API)","use_speaker_boost (boolean)"],"output_types":["synthesized audio with applied parameters","metadata about synthesis settings used"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-elevenlabs-mcp__cap_4","uri":"capability://tool.use.integration.error.handling.and.api.response.translation","name":"error handling and api response translation","description":"Translates ElevenLabs API errors and responses into MCP-compliant error messages and structured results. The server catches HTTP errors from ElevenLabs (authentication failures, rate limits, invalid parameters), maps them to appropriate MCP error codes, and returns human-readable error messages to the client. This abstraction shields MCP clients from ElevenLabs API details and enables consistent error handling across the MCP ecosystem.","intents":["I want clear error messages when ElevenLabs API calls fail","I need my agent to handle API errors gracefully without crashing","I want to distinguish between authentication errors, rate limits, and invalid parameters"],"best_for":["Production applications requiring robust error handling","Agents that need to retry or fall back on API failures","Teams debugging integration issues between MCP and ElevenLabs"],"limitations":["Error translation is only as good as the MCP server's implementation — some ElevenLabs errors may not map cleanly to MCP error codes","No built-in retry logic — clients must implement their own retry strategies","Error messages are only as detailed as ElevenLabs' API responses — some errors may lack actionable information","No logging or monitoring built into the MCP server — errors may not be visible without external instrumentation"],"requires":["MCP client capable of handling error responses","Understanding of ElevenLabs API error codes and messages"],"input_types":["ElevenLabs API error responses (HTTP status codes, error messages)"],"output_types":["MCP error objects with error codes and messages","structured error metadata (error type, cause, suggested remediation)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-elevenlabs-mcp__cap_5","uri":"capability://tool.use.integration.authentication.and.credential.management","name":"authentication and credential management","description":"Manages ElevenLabs API authentication by reading API keys from environment variables, configuration files, or secure credential stores. Implements secure credential handling (no logging of secrets, proper scoping) and validates API key validity before making requests. Provides clear error messages when credentials are missing or invalid, guiding users to set up authentication correctly.","intents":["I want to securely provide my ElevenLabs API key to the MCP server without hardcoding it","I need to validate that my API key is correct before attempting synthesis","I want to rotate or update my API key without restarting the MCP server"],"best_for":["Production deployments requiring secure credential management","Teams with multiple environments (dev, staging, prod) needing per-environment keys","Users concerned about API key security and audit trails"],"limitations":["API key is typically read once at startup; runtime key rotation requires server restart","No built-in key rotation or expiration management","Credential storage security depends on OS-level security (environment variables, file permissions)","No audit logging of API key usage or access attempts","Multi-account support (multiple API keys) is not built-in; requires separate server instances"],"requires":["ElevenLabs API key (from https://elevenlabs.io/account/api-keys)","Environment variable or config file setup (ELEVENLABS_API_KEY or similar)","Proper file permissions on config files (if used)"],"input_types":["environment variable (ELEVENLABS_API_KEY)","config file path","API key string (for validation)"],"output_types":["authentication status (valid/invalid)","error message if credentials are missing or invalid","no output of actual API key (security)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["ElevenLabs API key (free or paid account)","MCP-compatible client (Claude Desktop, or custom MCP client implementation)","Network connectivity to ElevenLabs API endpoints","ElevenLabs API key with voice listing permissions","MCP client capable of calling tools and processing structured responses","Node.js or Python runtime (depending on implementation language)","MCP SDK or library for the chosen language","ElevenLabs API key","ElevenLabs API key with access to advanced synthesis parameters","MCP client capable of passing structured parameters to tools"],"failure_modes":["Requires valid ElevenLabs API key with sufficient quota — no fallback to free tier or alternative providers","Audio output format and quality depend entirely on ElevenLabs' current API capabilities — no local synthesis option","MCP protocol overhead adds latency compared to direct API calls — not suitable for real-time streaming use cases","No built-in caching of synthesized audio — repeated requests for identical text will incur API costs","Voice list is cached at server startup — new voices added to ElevenLabs won't appear until server restart","No filtering or search functionality built into the MCP tool — clients must implement their own voice selection logic","Voice metadata (accent, language) is only as accurate as ElevenLabs' API response — no validation or enrichment","MCP protocol version compatibility depends on server implementation — may not support all MCP features (e.g., resources, sampling)","No built-in rate limiting or quota management — relies on ElevenLabs API rate limits","Error handling and retry logic may be minimal — transient failures could cause agent failures without graceful degradation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"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":"2026-05-24T12:16:25.062Z","last_scraped_at":"2026-05-03T15:19:39.638Z","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=afarhadi99-elevenlabs-mcp","compare_url":"https://unfragile.ai/compare?artifact=afarhadi99-elevenlabs-mcp"}},"signature":"vqS1j502DKk+sP3UmojB2Xr2k/Zb3G2F9zcZ7Fc4CMXgM/uZXw8ryfs4O3r8GKdWw85cpYIOTEngvGCuBWGfCw==","signedAt":"2026-06-21T20:16:15.278Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/afarhadi99-elevenlabs-mcp","artifact":"https://unfragile.ai/afarhadi99-elevenlabs-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=afarhadi99-elevenlabs-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"}}