"Transcribing Voice Conversations into Structured Meeting Notes" matching MCP tools:

• perspective_get_conversationsA

  Perspective AIA

  Returns a token-efficient batch of conversations for bulk analysis. Default output is summaries only (id, summary, trust_score, status, created_at) plus the perspective outline; opt in to full XML transcripts via include_transcripts=true. Default format is TOON (compact); JSON available. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Filters: period (7d/30d/90d/all, default 30d), status, trust_score range. Page size up to 50, default 10. Pass nextCursor back as cursor for the next batch. - Response includes total_matching, returned_count, has_more, nextCursor for sizing. - Citation format when transcripts are included: "conversation_id:message_index". When to use this tool: - Thematic analysis, sentiment distribution, or pattern detection across many conversations. - Building a research summary from many summaries cheaply, then drilling into specific transcripts. - Bulk export with filters. When NOT to use this tool: - Need one conversation in full detail (voice snippets, trust dimensions) — use perspective_get_conversation. - Just need a browsable list with metadata — use perspective_list_conversations. - Aggregate counts only — use perspective_get_stats (call first to size the dataset before batching).

  ConnectorOAuth

• list_conversationsA

  AIOProductOS MCPA

  List support-chat conversations in the inbox (open + snoozed by default; pass status='all' to include closed). Read-only; returns the matching conversations, empty when the inbox is clear. Optional product_id to scope to one product; open a full thread with get_conversation.

  ConnectorNo auth

• fluxink-mcp-chatgpt-create-layoutA

  fci-mcpA

  FluxInk document layout generator. Transform raw text content into a structured PDF using one of seven study or work templates, then preview it in an embedded PDF viewer widget. Supported layout_type values. cornell is the Cornell note taking layout with cue, notes, and summary. bullet_points is a clean bulleted summary. zettelkasten is atomic linked notes. journalism_5w1h is who, what, when, where, why, and how. meeting_add is a meeting agenda plus action items. sq3r is Survey, Question, Read, Recite, Review study notes. pso is Problem, Solution, Outcome. Use this when the user asks for a Cornell sheet, bulleted summary, Zettelkasten card, 5W1H breakdown, meeting agenda or minutes, SQ3R study sheet, or PSO writeup. Use this when the user wants to turn raw notes, lecture transcript, or source material into a printable PDF or formatted study sheet. Use this when the user asks for a downloadable PDF document of their content. Do NOT use this when the user just asks for a plain summary in chat. Give it inline. Do NOT use this when the user wants to handwrite or draw something. Call show_handwriting_canvas instead. Do NOT use this when the user wants text in a personal handwriting style. Call show_style_canvas instead. Do NOT use this for plain informational requests with no document generation intent. Always pass the source material verbatim in the content parameter. Do NOT pre summarize. The layout engine handles structuring. Pick the layout_type that best matches the stated purpose. If unclear, ask one short clarifying question instead of guessing. Do NOT re-call if a layout PDF is already visible from a previous turn unless the user explicitly asks for a different layout, different content, or a regeneration. After calling, write a single short acknowledgement and do NOT restate the PDF content.

  ConnectorNo auth

• perspective_import_conversationA

  Perspective AIA

  Import an external conversation (an in-person meeting, a Zoom/Gong/Meet/Teams call, any interview held outside Perspective) into an existing perspective from its transcript. Returns immediately with a job_id (status "pending"); long-poll perspective_await_job until status "ready" for the imported conversation_id. Pass the full transcript text. Speaker-labelled lines ("Alice: …", "[00:12] Bob: …") are parsed into conversation turns; unlabelled text is segmented into turns automatically, with the roles it inferred reported as warnings. Behavior: - Creates a completed conversation in the perspective and starts the same automatic analysis (summary, structured fields, insights) as native conversations — analysis continues after the job reports "ready". - One import can run per perspective at a time; starting a second one errors with the running job's id so you can await it. - Each call starts a new job — not safe to retry blindly; await the returned job_id first. - Typical flow: perspective_import_conversation → perspective_await_job (re-poll while pending) → perspective_get_conversation with the returned conversation_id. When NOT to use this tool: - You have a recording rather than a transcript — transcribe it first and pass the text; this tool does not accept audio or video. - Conversations conducted inside Perspective — they're already in the perspective. - Bulk Perspective-to-Perspective transfer — use the app's export/import ZIP flow. Example: `{ workspace_id, perspective_id, participant_name: "Alice", transcript: "Interviewer: …\nAlice: …", provider: "zoom", conducted_at: "2026-08-01T10:00:00Z" }`

  ConnectorOAuth

• generate_voiceA

  HermosoA

  RAW text-to-speech from the voice-model catalog: speak a script in a chosen voice and return the served MP3 URL. For a standalone voiceover / narration clip — NOT for adding audio to a video (render_ad and generate_video voice their own spots; change_voice re-voices a finished clip). engine picks the voice model (default 'seed-audio'; also 'eleven-v3', 'minimax-speech', 'kokoro'); voice is a preset name from that engine (see hermoso_capabilities → voice engines) — a name that engine does not have is REFUSED for free with its real list, and a few engines generate their own voice and take no preset at all (the reply says which voice actually spoke). Paid (a couple of credits by length; ≤900 characters).

  ConnectorNo auth

• get_activityA

  Kepler CRMA

  Reads one note, call, meeting, email, or other activity in full by id, including body text (HTML notes are returned as plain text with the HTML alongside), links, and version. Use after search_activities when the snippet is not enough, and before update_note.

  ConnectorOAuth

• voiceA

  switchA

  Your saved voices — one tool for the whole voice library. Users speak plain language and never know ids: resolve every voice by NAME yourself (call action "list" first if unsure) and never ask the user for an id. action="list" returns every saved voice with voice_id, name, kind and ready — kind "reference" is an instant voice match saved from a clip and kind "clone" is a trained voice (both speak through generate_audio: pass the NAME as its voice param); kind "avatar" voices drive talking_avatar_video. action="create" saves a NEW reference voice from a clip: voice_name plus audio_url (e.g. the url upload_media returned) or audio_base64 (+ format) — free, ready instantly. action="rename" renames a saved voice (voice_id takes the id OR the current name, new_name is the new name). action="clone" registers a voice for talking_avatar_video from audio_sample_url + voice_name (charged 2 credits). action="delete" removes a voice by voice_id or name.

  ConnectorNo auth

• niche_brand_profile_setA

  Niche — Editorial IntelligenceA

  Set or update the persisted brand profile for a brand. The profile is a structured JSON document applied across every pipeline stage: voice rules, banned terms, canonical vocabulary, framing allowlist, channel config, compliance disclosures, and verifier overrides. Use it to persist a profile derived from a repo or docs so future runs inherit the rules, or to update voice rules and banned terms before the next run. Required sections: `identity` and `voice` (a profile with no voice falls back to generic drafts). A re-set that omits voice is accepted with a default voice stub rather than rejected. Validation: tiered lints (error / warn / info). 'error' lints reject the set; 'warn' lints accept with a note. The response includes `lints[]`. `conflicts[]` lists fields locked by the brand kit, which takes precedence; those profile values are not stored. brand_id is unique per user; re-setting the same brand_id replaces the prior profile.

  ConnectorNo auth

• glim_github_searchA

  glim.shA

  Search GitHub repositories, conversations (issues+PRs), discussions, or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. kind='discussions': GitHub Discussions, a SEPARATE index from issues/PRs - a question answered there never appears under conversations, so reach for it when a repo does its Q&A in Discussions; supports repo:/org:/author:/is:answered plus category: (the repo's own category name, needs a repo: scope), up to 10 results per page, no sort:. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:answered/category: -> discussions, is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos); a conversations search with no matches is retried as discussions and says so. Returns compact text by default; pass format='json' for full structured data.

  ConnectorNo auth

• write_content_candidatesA

  ProductClankA

  Draft one or more posts into a ProductClank content space. FREE. Call get_content_workspace FIRST and write in that brand's voice, post types and topics — the drafts are scored against exactly that voice by the reviewer a moment after they land, and the scores show in get_content_queue. `platform` must be one of the space's platforms (omit it to use the first). Candidates land in the user's 'All Content' queue for approval; nothing is auto-published. Up to 25 per call. This drafts into the user's OWN content pipeline — it is NOT a community content campaign (use create_content_campaign for that).

  ConnectorNo auth

• connect_verifyA

  Victano: EU tenders and grant callsA

  Complete authentication with the request_id from connect_start and the six-digit code the user received. On success this session is authenticated immediately, with no reconnect, and the full toolset appears. Save the returned api_key into this client's MCP config as an Authorization: Bearer header so future conversations start connected. The key is shown once and cannot be recovered.

  ConnectorNo auth

• perspective_get_conversationA

  Perspective AIA

  Returns the full record for a single conversation: rendered transcript, summary, trust assessment with per-dimension scores and recommendations, structured-output fields, voice-message snippet URLs, duration, and timestamps. Behavior: - Read-only. - Errors when the conversation does not exist, belongs to a different workspace, or the id is malformed. - Transcript joins participant and agent turns with role labels. - voice_snippets are present only for voice-mode messages. When to use this tool: - Deep-dive on one conversation: full transcript, why trust was low, what was said. - Pulling exact quotes or audio links for a single response. When NOT to use this tool: - Browsing many conversations — use perspective_list_conversations. - Bulk analysis or thematic patterns across many conversations — use perspective_get_conversations (batch, token-efficient). - Aggregate stats only — use perspective_get_stats.

  ConnectorOAuth

• niche_voice_profile_ingestA

  Niche — Editorial IntelligenceA

  Extract voice primitives (register / sentence rhythm / lexicon preferences / punctuation habits) from post-shaped text and persist onto the user's VoiceProfile. The voice primitives thread into content generation so generated copy matches the user's actual writing voice. Two input shapes: pass `posts` (list of pre-collected text snippets, ≥80 chars each) or pass `url` (the server scrapes post-shaped snippets from the page: Substack / Medium / blog / X profile). Inline posts win when both are given. Inline post-shaped snippets need to be the user's own writing, not press articles or marketing copy. Returns the extracted primitives + a diff of what changed on the stored VoiceProfile.

  ConnectorNo auth

• zoom_list_recordingsA

  local-mcpB

  Lists Zoom meeting recordings saved locally on this Mac (~/Documents/Zoom), newest first: meeting name, date, and which artifacts exist (transcript, captions, saved chat, audio, video). Local recordings only — no Zoom API, no admin approval. Use zoom_read_transcript to read the text of a meeting.

  ConnectorOAuth

• scan_scriptA

  framesailA

  Analyze the active script: extracts character/environment/object assets and splits narration into voice blocks. DESTRUCTIVE on re-run (assets are recreated, not merged — curated descriptions, reference images, and voices are lost; prefer rescan_voice_blocks after script edits). Extraction reads the narration AND any `[SCENE: ...]` directions — a character or place named only inside a direction is still extracted, under the exact name the direction uses. Directions never leak into voice blocks (they ride onto the blocks they govern as staging instead). Review list_assets afterwards and create_asset anything the video needs that neither narration nor directions ever name. Async — returns {job_id}.

  Connector

  Destructive

  No auth

• get_vocal_profileA

  HumMatchA

  Turn a singer's vocal range into a normalized HumMatch vocal profile: a persistent Vocal ID, voice type, and tone label. Call this first when you know someone's range and want a profile to reuse across the other HumMatch tools.

  ConnectorNo auth

• generate_audioA

  mcpA

  Speech and sound: text-to-speech (default; optional voice_id, see list_resources), sound effects (model 'sfx', optional duration), multi-voice dialogue (model 'dialogue': pass the turns in the dialogue parameter, not prompt), transcription (model 'stt': pass audio_url, get text back; optional diarize/language_code), voice change (model 'voice-changer': audio_url + target voice_id) and audio cleanup (model 'voice-isolation': audio_url). Returns the audio URL (or the transcript for 'stt'). For music, use generate_music.

  Connector

  Destructive

  No auth

• show_customer_inboxA

  supoviaA

  Open a metadata-only Supovia inbox and report only how many conversations have unread activity. The embedded view receives conversation ids needed for an explicit follow-up plus channel, status, unread count, and timestamps. It never receives message bodies, previews, message ids, customer details, or internal notes.

  ConnectorNo auth

• show_customer_inboxA

  SupoviaA

  Open a metadata-only Supovia inbox and report only how many conversations have unread activity. The embedded view receives conversation ids needed for an explicit follow-up plus channel, status, unread count, and timestamps. It never receives message bodies, previews, message ids, customer details, or internal notes.

  ConnectorNo auth

• task_searchA

  kanban-todo-tasks-projects-boardA

  Find tasks whose id, title, notes or tags contain the query, across every board, finished ones included. Plain case-insensitive substring, never a regex. Use task_list for structured filters.

  ConnectorNo auth

• campaignstack_revert_voiceA

  campaignstackA

  Restore a previous version of a voice profile. Call this when the user picks a specific versionId from campaignstack_list_voice_versions, typically after a re-extraction made the voice worse and they want the earlier one back. The current state is snapshotted first and the profile's version number goes UP, because a version is a write counter rather than a pointer into the history.

  ConnectorAPI key