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AssemblyAI offers a Speech-to-Text API, providing automated transcription and audio intelligence features like sentiment analysis and content moderation. It is primarily used for converting audio and video content into text for applications in media, customer service, and accessibility.
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Live probe refreshed Sep 14, 2026 · Endpoint host mcp.mcpbundles.com
Domain knowledge for AssemblyAI — workflow patterns, data models, and gotchas for your AI agent.
AssemblyAI transcribes audio/video. Transcripts are the core entity; paragraphs, sentences, subtitles are derived. Lemur is the AI summarization model.
Assemblyai Fetch Lemur Response
Fetch the response for a specific Lemur request using 'request_id'. This is helpful for reviewing processed audio analysis results. It returns a in-depth analysis report including metadata and insights derived from the audio content.
Assemblyai List Paragraphs
Retrieve paragraphs from a specific transcription by providing the 'tr_id'. Use this to understand the structure and flow of spoken content in a transcription. It returns a list of paragraph objects, each with timestamps and text content.
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Browse all toolsAssemblyai List Transcripts
Retrieve a list of all transcription jobs submitted through AssemblyAI. Use this endpoint to monitor the progress or review the history of your transcription requests. It returns an array of transcript objects, each with details such as the status, duration, and media_url of the transcription.
Assemblyai List Transcript Sentences
Get a detailed list of sentences from a specific transcription using its 'tr_id'. This is useful for analyzing specific parts of a transcript or for further natural language processing tasks. It returns an array of sentence objects, each including the start time, end time, and text.
Assemblyai List Transcript Subtitle
Access redacted versions of transcripts for specific media files using the 'tr_id'. Ideal for generating subtitles where sensitive content needs to be removed. It returns modified audio and text ensuring confidential content is not displayed.
AssemblyAI offers a Speech-to-Text API, providing automated transcription and audio intelligence features like sentiment analysis and content moderation. It is primarily used for converting audio and video content into text for applications in media, customer service, and accessibility. It provides 5 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/assemblyai. Authentication is handled automatically.
AssemblyAI provides 5 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
AssemblyAI uses API Key. AssemblyAI requires credentials. Connect via MCPBundles and authentication is handled automatically.
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MCPBundles is an independent platform built on the open Model Context Protocol standard. Not affiliated with Anthropic PBC or Claude.
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