{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-daisys","slug":"daisys","name":"DAISYS","type":"mcp","url":"https://github.com/daisys-ai/daisys-mcp","page_url":"https://unfragile.ai/daisys","categories":["mcp-servers","testing-quality"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-daisys__cap_0","uri":"capability://tool.use.integration.mcp.native.text.to.speech.synthesis.with.daisys.platform.integration","name":"mcp-native text-to-speech synthesis with daisys platform integration","description":"Exposes DAISYS text-to-speech capabilities through the Model Context Protocol (MCP) server interface, enabling LLM agents and applications to invoke high-quality voice synthesis directly via standardized MCP tool calls. The integration bridges the DAISYS API with MCP's schema-based function calling mechanism, allowing seamless composition of TTS operations within multi-step agent workflows without custom HTTP client code.","intents":["I want my LLM agent to generate spoken audio from generated text without leaving the MCP ecosystem","I need to add voice synthesis to my Claude desktop app or MCP-compatible IDE extension","I'm building a multi-modal agent that combines text generation with audio output via standardized protocols"],"best_for":["LLM application developers using Claude or other MCP-compatible clients","Teams building voice-enabled agents that require standardized tool interfaces","Developers integrating DAISYS TTS into existing MCP server stacks"],"limitations":["Requires active DAISYS API credentials and account; no fallback to open-source TTS engines","MCP protocol overhead adds ~100-200ms per request vs direct API calls","No built-in audio caching or streaming — each synthesis request is independent","Limited to DAISYS platform's voice models and quality tiers; no custom voice training support"],"requires":["DAISYS API key (obtainable from https://www.daisys.ai/)","MCP-compatible client (Claude Desktop, Cline, or custom MCP host)","Network connectivity to DAISYS API endpoints","Node.js 16+ or Python 3.8+ (depending on MCP server implementation)"],"input_types":["text (plain UTF-8 strings)","structured JSON with voice parameters (speaker ID, language, speed, pitch)"],"output_types":["audio files (MP3, WAV, or other formats supported by DAISYS)","audio URLs or base64-encoded audio data","synthesis metadata (duration, voice characteristics)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-daisys__cap_1","uri":"capability://tool.use.integration.multi.voice.speaker.selection.and.voice.parameter.configuration","name":"multi-voice speaker selection and voice parameter configuration","description":"Allows callers to specify voice identity, language, speaking rate, pitch, and other prosodic parameters when invoking synthesis. The MCP tool schema exposes these as discrete, type-validated function arguments that LLM agents can inspect and reason about. Implementation likely maps these parameters to DAISYS API request payloads with validation and sensible defaults.","intents":["I want to generate speech in a specific language or with a particular speaker voice","I need to control speech rate and pitch for different emotional tones or accessibility requirements","I'm building an interactive voice app where different characters have distinct voices"],"best_for":["Developers building multi-lingual voice applications","Teams creating character-driven audio content or interactive fiction","Accessibility-focused projects requiring customizable speech parameters"],"limitations":["Voice availability depends on DAISYS platform offerings; not all languages or voice styles may be supported","Parameter ranges (pitch, speed) are constrained by DAISYS API limits; extreme values may be clamped or rejected","No voice cloning or custom voice training — limited to pre-built DAISYS voice models","Parameter combinations may have undocumented interactions (e.g., certain pitch ranges may not work with all languages)"],"requires":["DAISYS API key with access to multi-voice synthesis tier","Knowledge of available voice IDs and language codes in DAISYS catalog","MCP client capable of passing structured JSON parameters to tools"],"input_types":["text (UTF-8 string to synthesize)","voice_id (string identifier for speaker)","language (ISO 639-1 or DAISYS-specific language code)","speed (numeric multiplier, e.g., 0.8–1.5)","pitch (numeric offset or absolute value)"],"output_types":["audio file or stream with specified voice characteristics","metadata confirming applied parameters"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-daisys__cap_2","uri":"capability://automation.workflow.batch.and.streaming.audio.synthesis.for.multi.turn.agent.workflows","name":"batch and streaming audio synthesis for multi-turn agent workflows","description":"Enables agents to queue multiple synthesis requests (e.g., dialogue lines, narration segments) and retrieve results asynchronously or stream them progressively. Implementation likely uses MCP's async/streaming capabilities or request queuing to avoid blocking agent execution while waiting for audio generation. May support partial result streaming for real-time audio playback scenarios.","intents":["I want to generate audio for multiple dialogue lines in parallel without waiting for each one sequentially","I need to stream audio output to a user while my agent continues processing other tasks","I'm building a long-form audio content generator that synthesizes chapters or segments incrementally"],"best_for":["Developers building interactive voice applications with low-latency requirements","Teams generating long-form audio content (audiobooks, podcasts) where sequential synthesis is a bottleneck","Multi-turn conversational agents that need to generate speech while reasoning about next steps"],"limitations":["Batch size and concurrency limits depend on DAISYS API rate limits and account tier","Streaming support depends on MCP client implementation; not all clients may support server-initiated streaming","No built-in retry logic for failed synthesis requests in batches; caller must implement error handling","Memory overhead for queuing large batches of synthesis requests; no automatic spilling to disk"],"requires":["DAISYS API key with sufficient rate limit quota","MCP client with async/streaming support (e.g., Claude Desktop with streaming enabled)","Mechanism to correlate batch requests with responses (e.g., request IDs)"],"input_types":["array of text strings or structured synthesis requests","optional batch metadata (priority, timeout, callback URLs)"],"output_types":["stream of audio chunks or URLs","batch status updates (pending, completed, failed)","aggregated metadata (total duration, synthesis times)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-daisys__cap_3","uri":"capability://safety.moderation.daisys.api.credential.management.and.authentication.via.mcp.environment","name":"daisys api credential management and authentication via mcp environment","description":"Handles secure storage and injection of DAISYS API credentials into MCP tool calls, likely using environment variables or MCP's credential passing mechanism. The server validates credentials on startup and manages token refresh if DAISYS uses session-based auth. Implementation abstracts credential complexity from agent code, ensuring keys are never logged or exposed in tool schemas.","intents":["I want to securely pass my DAISYS API key to the MCP server without hardcoding it","I need to rotate or update DAISYS credentials without restarting my MCP client","I'm deploying an MCP server in a shared environment and need per-user credential isolation"],"best_for":["Production deployments of DAISYS MCP servers","Teams managing multiple DAISYS accounts or API keys","Developers building multi-tenant MCP applications"],"limitations":["Credential storage is only as secure as the underlying environment (env vars, .env files, or secret managers); no built-in encryption","No support for credential rotation without server restart (unless MCP server implements hot-reload)","Credential leakage risk if MCP server logs are not properly sanitized","No audit trail of credential usage or API key access"],"requires":["DAISYS API key (obtainable from https://www.daisys.ai/)","Environment variable or secret manager integration (e.g., .env file, AWS Secrets Manager)","MCP server with credential injection support"],"input_types":["API key (string)","optional: API endpoint URL, timeout settings"],"output_types":["authenticated MCP tool context","validation status (success/failure)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-daisys__cap_4","uri":"capability://safety.moderation.error.handling.and.synthesis.failure.recovery.with.fallback.strategies","name":"error handling and synthesis failure recovery with fallback strategies","description":"Catches and reports synthesis failures (API errors, rate limits, invalid parameters) as structured MCP tool errors, optionally implementing retry logic with exponential backoff or fallback to alternative voices/parameters. Implementation likely includes detailed error messages that help agents understand why synthesis failed and what corrective actions are possible.","intents":["I want my agent to gracefully handle DAISYS API failures and retry or use a fallback voice","I need detailed error messages when synthesis fails so I can debug parameter issues","I'm building a resilient voice app that continues functioning even if DAISYS is temporarily unavailable"],"best_for":["Production voice applications requiring high availability","Developers building agents that must handle API failures gracefully","Teams implementing observability and error tracking for voice synthesis"],"limitations":["Retry logic may exhaust rate limits faster if not carefully tuned; no adaptive backoff based on DAISYS rate limit headers","Fallback strategies (e.g., alternative voices) are static and not learned from failure patterns","Error messages depend on DAISYS API documentation; some error codes may be ambiguous or undocumented","No built-in circuit breaker to prevent cascading failures if DAISYS API is down"],"requires":["MCP server with error handling and retry logic implemented","Knowledge of DAISYS API error codes and rate limit behavior","Optional: monitoring/logging infrastructure to track synthesis failures"],"input_types":["synthesis request (text, voice parameters)","optional: retry policy (max attempts, backoff strategy)"],"output_types":["structured error object with code, message, and recovery suggestions","optional: fallback audio or alternative synthesis result"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["DAISYS API key (obtainable from https://www.daisys.ai/)","MCP-compatible client (Claude Desktop, Cline, or custom MCP host)","Network connectivity to DAISYS API endpoints","Node.js 16+ or Python 3.8+ (depending on MCP server implementation)","DAISYS API key with access to multi-voice synthesis tier","Knowledge of available voice IDs and language codes in DAISYS catalog","MCP client capable of passing structured JSON parameters to tools","DAISYS API key with sufficient rate limit quota","MCP client with async/streaming support (e.g., Claude Desktop with streaming enabled)","Mechanism to correlate batch requests with responses (e.g., request IDs)"],"failure_modes":["Requires active DAISYS API credentials and account; no fallback to open-source TTS engines","MCP protocol overhead adds ~100-200ms per request vs direct API calls","No built-in audio caching or streaming — each synthesis request is independent","Limited to DAISYS platform's voice models and quality tiers; no custom voice training support","Voice availability depends on DAISYS platform offerings; not all languages or voice styles may be supported","Parameter ranges (pitch, speed) are constrained by DAISYS API limits; extreme values may be clamped or rejected","No voice cloning or custom voice training — limited to pre-built DAISYS voice models","Parameter combinations may have undocumented interactions (e.g., certain pitch ranges may not work with all languages)","Batch size and concurrency limits depend on DAISYS API rate limits and account tier","Streaming support depends on MCP client implementation; not all clients may support server-initiated streaming","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:03.037Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=daisys","compare_url":"https://unfragile.ai/compare?artifact=daisys"}},"signature":"Ey+b4wbMLAcZM4YE/wA7ZrXrywmqIJYTsLC47Se0hZsSOMM7WLUs6Z9RYOl0UaFoDWywLPRsgIM5zEQFrgz4Bw==","signedAt":"2026-06-21T14:24:26.757Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/daisys","artifact":"https://unfragile.ai/daisys","verify":"https://unfragile.ai/api/v1/verify?slug=daisys","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"}}