{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_afarhadi99-spaces-download-mcp","slug":"afarhadi99-spaces-download-mcp","name":"Twitter Spaces Downloader and Transcriber","type":"mcp","url":"https://smithery.ai/servers/afarhadi99/spaces-download-mcp","page_url":"https://unfragile.ai/afarhadi99-spaces-download-mcp","categories":["mcp-servers","automation"],"tags":["mcp","model-context-protocol","smithery:afarhadi99/spaces-download-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_afarhadi99-spaces-download-mcp__cap_0","uri":"capability://search.retrieval.twitter.spaces.availability.detection.and.metadata.retrieval","name":"twitter spaces availability detection and metadata retrieval","description":"Queries Twitter's API endpoints to check whether a given Spaces room is currently live or archived, and retrieves associated metadata including host information, participant count, and creation timestamp. Uses OAuth 2.0 authentication to access Twitter's v2 API and parses JSON responses to extract availability state and room identifiers for downstream processing.","intents":["Check if a Twitter Space is currently available before attempting download","Retrieve metadata about a Space to validate it exists and is accessible","Determine whether a Space is live or archived to decide on transcription strategy"],"best_for":["Developers building automated Spaces archival pipelines","Content researchers needing to validate Space availability before bulk operations"],"limitations":["Requires valid Twitter API v2 credentials with Spaces read permissions","Rate-limited by Twitter's API quota (typically 300 requests per 15 minutes for standard tier)","Cannot access private or restricted Spaces unless authenticated as authorized user","Metadata may lag 30-60 seconds behind real-time state changes"],"requires":["Twitter API v2 Bearer token with Spaces.read scope","Network connectivity to api.twitter.com","Valid Space ID or URL in standard Twitter format"],"input_types":["Space URL (string)","Space ID (string)"],"output_types":["JSON metadata object","Boolean availability flag","Structured space information (host, participant_count, created_at)"],"categories":["search-retrieval","api-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_1","uri":"capability://automation.workflow.spaces.audio.stream.capture.and.download","name":"spaces audio stream capture and download","description":"Establishes persistent WebSocket or HTTP Live Streaming (HLS) connections to Twitter's Spaces audio infrastructure, buffers the incoming audio stream in real-time, and writes the complete broadcast to disk in standard audio formats (MP3, WAV, or M4A). Implements retry logic and connection recovery to handle network interruptions during long-running Spaces sessions.","intents":["Download complete audio from an active or archived Twitter Space","Capture Spaces audio in a specific format for compatibility with transcription services","Archive Spaces content before it expires from Twitter's platform"],"best_for":["Content archivists preserving Spaces for long-term access","Researchers collecting audio data from public Spaces","Teams building internal knowledge bases from Spaces discussions"],"limitations":["Audio quality depends on Twitter's streaming bitrate (typically 128 kbps AAC), cannot exceed source quality","Large Spaces (2+ hours) may require 500MB+ disk space depending on format and bitrate","Connection drops during download may result in incomplete audio files unless resume logic is implemented","Cannot download Spaces marked as private or restricted by host, even if user has access"],"requires":["Twitter authentication credentials (OAuth token or session cookie)","Minimum 100MB free disk space per hour of audio","Stable network connection with 256 kbps+ bandwidth","ffmpeg or equivalent audio codec library for format conversion"],"input_types":["Space URL or ID (string)","Output format preference (enum: mp3, wav, m4a)","Optional: bitrate specification (integer, kbps)"],"output_types":["Audio file (MP3, WAV, or M4A)","File path and metadata (duration, filesize, codec)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_2","uri":"capability://text.generation.language.ai.powered.spaces.audio.transcription.with.speaker.diarization","name":"ai-powered spaces audio transcription with speaker diarization","description":"Sends downloaded Spaces audio to a speech-to-text service (likely Whisper API or similar) with speaker diarization enabled, processes the returned transcript to identify and label individual speakers, and structures the output with timestamps and speaker attribution. Handles long-form audio by chunking into segments and managing context across chunks to maintain speaker consistency.","intents":["Generate searchable text transcripts from Spaces audio recordings","Identify who said what in multi-speaker Spaces discussions","Create timestamped transcripts for easy reference and quoting"],"best_for":["Researchers analyzing Spaces discussions for content patterns","Teams creating searchable archives of internal or public Spaces","Content creators generating show notes and summaries from Spaces"],"limitations":["Transcription accuracy varies by audio quality and speaker clarity (typically 85-95% for clear audio)","Speaker diarization may fail or misattribute speakers in overlapping dialogue or noisy environments","Long Spaces (3+ hours) incur higher API costs and may hit rate limits on transcription services","Background noise, music, or non-English languages may degrade transcription quality significantly"],"requires":["API key for transcription service (OpenAI Whisper, AssemblyAI, or equivalent)","Audio file in supported format (MP3, WAV, M4A, FLAC)","Network connectivity to transcription service API","Sufficient API quota/credits for audio duration being transcribed"],"input_types":["Audio file (MP3, WAV, M4A, FLAC)","Optional: language hint (ISO 639-1 code)","Optional: speaker count hint (integer)"],"output_types":["Transcript with timestamps (JSON or SRT format)","Speaker-labeled transcript (JSON with speaker_id, text, timestamp)","Confidence scores per segment (optional)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_3","uri":"capability://data.processing.analysis.multi.format.transcript.export.and.formatting","name":"multi-format transcript export and formatting","description":"Converts transcription output into multiple standard formats (plain text, SRT subtitles, VTT captions, JSON with metadata, Markdown with speaker labels) using format-specific serialization logic. Preserves timestamps, speaker attribution, and confidence scores across all formats while applying format-appropriate styling and structure.","intents":["Export transcripts in format compatible with specific downstream tools or platforms","Generate subtitle files for video embedding or accessibility","Create Markdown-formatted transcripts for documentation or blog publishing"],"best_for":["Teams integrating Spaces transcripts into documentation systems","Accessibility specialists creating subtitle files for video platforms","Content creators publishing Spaces summaries to blogs or newsletters"],"limitations":["Format conversion may lose some metadata (e.g., confidence scores not supported in SRT/VTT)","Very long transcripts (50,000+ words) may exceed platform limits for some formats","Special characters or non-ASCII text may require encoding normalization per format","Timestamp precision varies by format (SRT supports milliseconds, plain text may not)"],"requires":["Structured transcript input with timestamps and speaker labels","Target format specification (enum: txt, srt, vtt, json, md)","Optional: encoding preference (UTF-8, ASCII, etc.)"],"input_types":["Transcript JSON object with speaker, text, timestamp fields","Format specification (string enum)"],"output_types":["Formatted transcript file (text, SRT, VTT, JSON, Markdown)","File path and format metadata"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_4","uri":"capability://data.processing.analysis.spaces.metadata.enrichment.and.tagging","name":"spaces metadata enrichment and tagging","description":"Analyzes transcript content and Spaces metadata to automatically extract and assign structured tags (topics, speakers, key themes) using keyword extraction or lightweight NLP. Enriches downloaded Spaces records with searchable metadata including duration, participant count, host, creation date, and AI-generated summaries or topic labels for catalog organization.","intents":["Organize downloaded Spaces by topic or speaker for easy discovery","Generate searchable metadata for Spaces archives without manual tagging","Create structured records for Spaces in knowledge management systems"],"best_for":["Teams building searchable Spaces archives or knowledge bases","Researchers organizing large collections of Spaces by topic","Content platforms indexing Spaces for discovery and recommendation"],"limitations":["Automatic topic extraction may misidentify niche or technical topics without domain-specific training","Tagging quality depends on transcript accuracy — poor transcriptions produce poor tags","No semantic understanding of context — may tag unrelated terms mentioned in passing","Requires sufficient transcript length to extract meaningful tags (short Spaces may produce generic tags)"],"requires":["Transcript text (plain text or structured format)","Spaces metadata (host, creation date, participant info)","Optional: domain-specific keyword vocabulary or taxonomy"],"input_types":["Transcript text (string)","Spaces metadata object (JSON)","Optional: custom tag vocabulary (array of strings)"],"output_types":["Enriched metadata object with tags, summary, topics","Structured record suitable for database or search index"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_5","uri":"capability://automation.workflow.batch.spaces.processing.and.orchestration","name":"batch spaces processing and orchestration","description":"Manages sequential or parallel processing of multiple Spaces URLs through the complete pipeline (availability check → download → transcription → export → tagging) with progress tracking, error handling, and result aggregation. Implements job queuing and retry logic to handle failures gracefully and resume interrupted batch operations.","intents":["Download and transcribe multiple Spaces in a single operation","Archive a collection of Spaces from a specific host or time period","Process Spaces in bulk for research or content analysis"],"best_for":["Researchers collecting Spaces data for studies or analysis","Teams archiving Spaces from specific creators or communities","Content platforms ingesting Spaces at scale"],"limitations":["Parallel processing limited by API rate limits (Twitter Spaces API, transcription service quotas)","Large batches (100+ Spaces) may require hours to complete depending on Space duration and service quotas","Failed Spaces in batch may require manual retry or investigation","No built-in persistence — batch state lost if process crashes unless checkpointing is implemented"],"requires":["Array of Space URLs or IDs (JSON array)","Valid API credentials for Twitter and transcription service","Sufficient disk space for all downloads (varies by Space count and duration)","Stable network connection for duration of batch operation"],"input_types":["Array of Space URLs or IDs (JSON array)","Batch configuration object (parallelism, format preferences, retry policy)","Optional: filter criteria (date range, host, language)"],"output_types":["Batch job status and progress (JSON)","Array of processed Spaces with transcripts and metadata","Error report with failed Spaces and reasons"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_6","uri":"capability://search.retrieval.spaces.search.and.discovery.within.archives","name":"spaces search and discovery within archives","description":"Indexes downloaded Spaces transcripts and metadata using full-text search and semantic similarity matching, enabling queries across transcript content, speaker names, topics, and timestamps. Supports both keyword search (regex or inverted index) and semantic search (embedding-based similarity) to find relevant Spaces by content or topic.","intents":["Find Spaces discussing a specific topic or featuring a particular speaker","Search across transcript content for quotes or key discussions","Discover related Spaces based on semantic similarity"],"best_for":["Researchers analyzing Spaces collections for patterns or insights","Teams building searchable Spaces archives or knowledge bases","Content creators finding reference material from past Spaces"],"limitations":["Search quality depends on transcript accuracy — OCR errors or poor transcriptions reduce relevance","Semantic search requires embedding generation (additional API cost and latency)","Index must be rebuilt when new Spaces are added, adding processing overhead","No real-time search — index reflects state at last update, not live Spaces"],"requires":["Indexed Spaces archive (transcripts and metadata in searchable format)","Search query (string for keyword search, or embedding for semantic search)","Optional: embedding service API key for semantic search"],"input_types":["Search query (string)","Search type (enum: keyword, semantic)","Optional: filters (date range, speaker, topic)"],"output_types":["Array of matching Spaces with relevance scores","Snippet of matching transcript with context","Metadata for each result (speaker, date, duration)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_afarhadi99-spaces-download-mcp__cap_7","uri":"capability://text.generation.language.spaces.content.analysis.and.summarization","name":"spaces content analysis and summarization","description":"Processes Spaces transcripts through an LLM to generate structured summaries, extract key points, identify main topics, and produce actionable insights. Uses prompt engineering or few-shot examples to guide the LLM toward consistent, high-quality summaries with configurable detail levels (brief, standard, detailed).","intents":["Generate executive summaries of long Spaces discussions","Extract key takeaways and action items from Spaces","Identify main topics and themes discussed in a Space"],"best_for":["Teams creating show notes or summaries for Spaces content","Researchers analyzing Spaces discussions for insights","Content creators repurposing Spaces into blog posts or newsletters"],"limitations":["Summary quality depends on LLM capability and transcript quality — poor transcripts produce poor summaries","LLM may hallucinate or misinterpret context, especially for technical or niche topics","Summarization adds latency and API cost per Space","No guarantee of factual accuracy — summaries should be reviewed before publication"],"requires":["Transcript text (plain text or structured format)","LLM API access (OpenAI, Anthropic, or equivalent)","Optional: custom summarization prompt or template"],"input_types":["Transcript text (string)","Summary detail level (enum: brief, standard, detailed)","Optional: custom prompt or template"],"output_types":["Summary text (string)","Key points array (array of strings)","Topics array (array of topic objects with relevance scores)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Twitter API v2 Bearer token with Spaces.read scope","Network connectivity to api.twitter.com","Valid Space ID or URL in standard Twitter format","Twitter authentication credentials (OAuth token or session cookie)","Minimum 100MB free disk space per hour of audio","Stable network connection with 256 kbps+ bandwidth","ffmpeg or equivalent audio codec library for format conversion","API key for transcription service (OpenAI Whisper, AssemblyAI, or equivalent)","Audio file in supported format (MP3, WAV, M4A, FLAC)","Network connectivity to transcription service API"],"failure_modes":["Requires valid Twitter API v2 credentials with Spaces read permissions","Rate-limited by Twitter's API quota (typically 300 requests per 15 minutes for standard tier)","Cannot access private or restricted Spaces unless authenticated as authorized user","Metadata may lag 30-60 seconds behind real-time state changes","Audio quality depends on Twitter's streaming bitrate (typically 128 kbps AAC), cannot exceed source quality","Large Spaces (2+ hours) may require 500MB+ disk space depending on format and bitrate","Connection drops during download may result in incomplete audio files unless resume logic is implemented","Cannot download Spaces marked as private or restricted by host, even if user has access","Transcription accuracy varies by audio quality and speaker clarity (typically 85-95% for clear audio)","Speaker diarization may fail or misattribute speakers in overlapping dialogue or noisy environments","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.49000000000000005,"match_graph":0.25,"freshness":0.5,"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":"2026-05-03T15:19:31.415Z","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-spaces-download-mcp","compare_url":"https://unfragile.ai/compare?artifact=afarhadi99-spaces-download-mcp"}},"signature":"2PIcuZ4K7KKi6XmfYS/Nu8gPszpzJwB+P3/LV6Z1OKDRT3Wn5Uc+fxJdtWayzeSt1W+PzMZNI+wTR3ZgPejvDA==","signedAt":"2026-06-20T17:49:47.283Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/afarhadi99-spaces-download-mcp","artifact":"https://unfragile.ai/afarhadi99-spaces-download-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=afarhadi99-spaces-download-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"}}