AssemblyAI MCP Server

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.

5 tools
SKILL.md

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AI Skill
SKILL.md

Domain knowledge for AssemblyAI — workflow patterns, data models, and gotchas for your AI agent.

AssemblyAI

AssemblyAI transcribes audio/video. Transcripts are the core entity; paragraphs, sentences, subtitles are derived. Lemur is the AI summarization model.

Data Model

  • Transcripts are completed transcriptions. List to get transcript id (tr_id). Paragraphs, sentences, subtitles are transcript-scoped.
  • Lemur: AI summarization/Q&A. Pass transcript id as request_id — same value as tr_id.
  • Hierarchy: Transcript → paragraphs/sentences/subtitle. All derived content needs transcript id.

Gotchas

  • tr_id = request_id: For Lemur, transcript id doubles as request_id.
  • Transcript status: List returns completed transcripts. Pending/processing may need polling.
  • Lemur prompt: Custom prompt for summarization or Q&A.

Tools in this Server (5)

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-de...

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 trans...

Assemblyai 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 transc...

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 f...

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...

Integration Details

Authentication
API Key

Frequently Asked Questions

What is the AssemblyAI MCP server?

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).

How do I connect AssemblyAI to my AI agent?

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.

How many tools does AssemblyAI provide?

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.

What authentication does AssemblyAI require?

AssemblyAI uses API Key. AssemblyAI requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect AssemblyAI to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/assemblyai

What is MCP?

Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.

Use this bundle in 3 steps

  1. Copy the MCP URL above
  2. Open your AI tool and add a new MCP/connector
  3. Paste the URL and follow any auth prompts

Claude Desktop Users

Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.

Pick your tool tab for exact steps

Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.

Ready to use AssemblyAI?

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AssemblyAI MCP Server & Skill — 5 Tools