speak-ai

Saved declaration

{}

Saved declaration

{
  "name": "speak-ai",
  "source": {
    "ref": "main",
    "sha": "2fc1fb748a8e221a406bdce811700a400188daf5",
    "url": "https://github.com/speakai/speakai-mcp.git",
    "path": "plugins/speakai-mcp",
    "source": "git-subdir"
  },
  "homepage": "https://mcp.speakai.co",
  "description": "Speak AI transcribes and analyzes your interviews, sales calls, research sessions, webinars, podcasts, and team meetings. This connector brings that library into your AI assistant — so instead of scrubbing hours of audio, you just ask.\n\nCapture\n- Meeting assistant — send a bot to your Zoom, Google Meet, or Microsoft Teams calls to record, transcribe, and analyze them. Schedule ahead, drop into a live call, or pull it out whenever.\n- Upload anything — audio, video, or text. Get a transcript and AI insights back in the same thread.\n- Async surveys — set up voice and video recorders with custom questions, share a link, and collect responses for research, candidate screens, customer feedback, or team check-ins.\n\nAnalyze\n- Multi-file analysis — search and reason across thousands of recordings at once. Group customer feedback by theme, compare answers across interviews, or pull every mention of a topic with citations back to the source.\n- AI chat with your library — ask follow-up questions, save favorite prompts, and keep a full chat history per recording or across your whole workspace.\n- Summarize and extract — decisions, action items, owners, risks, sentiment, themes, and exact quotes from any conversation.\n\nAct\n- Create — clips, highlights, captions, text notes, folders, custom fields, and embeds, directly from chat.\n- Multi-step workflows — chain actions together with automations and webhooks. Auto-tag new recordings, route insights to other tools, trigger follow-ups when a meeting ends, or run a custom prompt against every new upload.\n\nShare & Organize\n- Share — export answers, transcripts, captions, and clips. Generate embed links and shareable views to send insights to teammates or stakeholders without giving them access to your whole workspace.\n- Organize at scale — bulk move media, update transcripts and speakers, manage folders and views, and clone setups across teams.\n\nWho it's for: researchers, revenue and customer-success teams, meeting-heavy operators, and media and content workflows — anyone who records conversations and wants to stop re-listening to find what matters.\n\nYour recordings stay in your Speak AI workspace. The connector only queries them with the permissions you allow."
}

Mcp servers

"./.mcp.json"

Saved declaration

{
  "name": "speakai-mcp",
  "author": {
    "url": "https://speakai.co",
    "name": "Vatsal Shah",
    "email": "accounts@speakai.co"
  },
  "license": "MIT",
  "version": "1.19.0",
  "homepage": "https://mcp.speakai.co",
  "keywords": [
    "mcp",
    "speak-ai",
    "transcription",
    "media",
    "insights",
    "meetings",
    "research",
    "clips",
    "captions"
  ],
  "mcpServers": "./.mcp.json",
  "repository": "https://github.com/speakai/speakai-mcp",
  "userConfig": {
    "speak_api_key": {
      "type": "string",
      "title": "Speak AI API key",
      "required": true,
      "sensitive": true,
      "description": "Generate an API key at https://app.speakai.co/developers/apikeys."
    },
    "speak_base_url": {
      "type": "string",
      "title": "Speak AI API base URL",
      "default": "https://api.speakai.co",
      "description": "Leave as https://api.speakai.co unless Speak AI support gave you a different endpoint."
    }
  },
  "description": "Capture meetings, search thousands of recordings, run async voice and video surveys, create clips, and automate workflows — all from your AI assistant."
}