AssemblyAI Connector for AI agents.
6 live capabilities
Turn audio links into searchable, structured text for your content workflow.
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Why people use AssemblyAI
AssemblyAI Transcription for Faster Content Audits
This Connector lets you skip the middleman. You just give your agent the link, and it handles the rest. You get a structured transcript with speaker labels and confidence scores delivered straight into your chat, ready for you to act on immediately.
What Vinkius changes
You get searchable, structured text from any audio link without touching a dashboard.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Podcast Show Notes
A creator asks the agent to summarize the podcast at a specific link.
- Real-world use case 02
Meeting Audit
An ops lead asks what was decided about the budget in last week's meeting.
- Real-world use case 03
Accuracy Check
A researcher wants to know if a specific quote is correct.
Complete set · 6capabilities
The complete AssemblyAI capability set.
These are the exact actions your AI can choose when you ask it to work with AssemblyAI.
01—03
3 capabilities in this set.
Part of 6 available through AssemblyAI.
- 01 Capability
Delete transcript
Removes a specific transcription record from your history. Use this to keep your workspace organized.
- 02 Capability
Get transcript paragraphs
Retrieves the transcript formatted into paragraphs. It's perfect for reading long-form content.
- 03 Capability
Get transcript sentences
Breaks the transcript down into individual sentences. Use this for precise text extraction or editing.
04—06
3 capabilities in this set.
Part of 6 available through AssemblyAI.
- 04 Capability
Get transcript
Fetches the full result of a completed transcription job. This is your primary way to see the final text.
- 05 Capability
List transcripts
Shows a list of all your transcription jobs. Use it to track what's finished and what's still processing.
- 06 Capability
Transcribe audio
Starts a transcription job for a given audio or video URL. This is how you kick off the process.
Set up in minutes
One URL. Then ask AssemblyAI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AssemblyAI from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AssemblyAI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AssemblyAI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AssemblyAI URL.
- Step 03
Save and start
Save the connection and enable AssemblyAI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"assemblyai": {
"url": "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AssemblyAI
Open Agent mode in chat and ask: "Using AssemblyAI, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"assemblyai": {
"url": "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AssemblyAI
Ask Copilot: "Using AssemblyAI, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"assemblyai": {
"url": "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AssemblyAI
Open Cascade and ask: "Using AssemblyAI, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"assemblyai": {
"url": "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AssemblyAI
Ask Cline: "Using AssemblyAI, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add assemblyai --transport http "https://edge.vinkius.com/vk_preview_kHfyjES8DV8n2LXmFad8bSeOK9tKPV57hzP83TCE/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AssemblyAI
Ask Claude: "Using AssemblyAI, show me...". 6 tools are ready
Where the request belongs
Work AssemblyAI can move forward.
Content creators drowning in raw footage, data analysts needing to turn interviews into searchable text, and ops leads who want to find specific details in hours of meeting recordings.
Podcast Producer
Manages dozens of episodes and needs quick summaries or speaker labels for show notes.
Data Analyst
Turns hours of customer interviews into structured data for trend analysis.
Operations Lead
Audits internal meetings to ensure project requirements are being met across different teams.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSpeechmatics
Automate speech-to-text and text-to-speech. transcribe audio files, generate natural voices, and manage transcription jobs directly.
Speechnotes
Transcribe audio files, manage transcription jobs, and export text on Speechnotes with AI agents.
Deepgram
Transcribe speech to text with blazing speed and accuracy using neural networks trained on real-world audio at scale.
3Scribe
Automated audio and video transcription. create jobs, monitor progress, and retrieve text via AI.
Gladia (Speech AI)
Transcribe, translate, and analyze audio with Gladia's high-speed Speech AI. support for pre-recorded files and live streaming.
AssemblyAI
Transcribe audio and video files with industry-leading accuracy, detect speakers, and extract insights from spoken content.
Bring your own AI
Change the model, client or framework. Keep AssemblyAI connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AssemblyAI.
The practical details behind the request, access and result.
How does AssemblyAI MCP handle my audio files?
It takes audio or video URLs and turns them into structured text transcripts. This means you don't have to manually upload files to a dashboard.
Can I use AssemblyAI MCP to summarize my podcasts?
Yes. Once the agent transcribes the podcast link, it can read the text and provide summaries, speaker labels, or specific highlights.
Does AssemblyAI MCP support video files?
Yes, it supports both audio and video URLs, making it useful for analyzing webinars, recordings, or social media clips.
How do I know if the transcription is accurate?
The Connector provides confidence scores for the text. Your agent can check these scores and alert you to specific parts that might need a human review.
Can AssemblyAI MCP organize my transcripts?
Yes, it can list your entire history of completed and active jobs so you can stay organized and find specific recordings quickly.
Does AssemblyAI MCP work with my existing files?
It works with any audio or video file hosted at a public URL. You just give your agent the link to start the process.
Can I delete old transcripts with AssemblyAI MCP?
Yes, you can ask your agent to remove specific transcription records to keep your history clean and manageable.
How do I find my AssemblyAI API Key?
Log in to your AssemblyAI dashboard, and you will find your API Key on the main home page. Copy and paste it below.
What audio formats are supported?
AssemblyAI supports most common audio and video formats, including MP3, WAV, AAC, MP4, and others. Simply provide a public URL to the file.
Can the agent identify different speakers?
Yes. When starting a job via transcribe_audio, set the speaker_labels parameter to true. Your agent will return the text categorized by speaker ID.
One connection away
Give your agent a direct line to AssemblyAI.
Connect AssemblyAI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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