Speechmatics Connector for AI agents.
8 live capabilities
Automate audio transcription and text-to-speech for content and data workflows.
Waiting for input…
Why people use Speechmatics
Speechmatics Transcription for High-Accuracy Audio Processing
This Connector lets your agent handle the transcription for you. Just give it a URL or a file, and it returns the text in a clean format like SRT or JSON, ready for your next step.
What Vinkius changes
You get professional audio processing without managing any of the backend complexity.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated YouTube Subtitles
A creator uploads a vlog link and asks the agent to generate a full SRT subtitle file using create_job and get_transcript.
- Real-world use case 02
App Voice Synthesis
A developer wants to turn a series of app notifications into audio and uses generate_tts to create natural-sounding voiceovers.
- Real-world use case 03
Archive Searchability
A researcher has a folder of old interviews and uses the agent to transcribe them all into searchable text files for analysis.
Complete set · 8capabilities
The complete Speechmatics capability set.
These are the exact actions your AI can choose when you ask it to work with Speechmatics.
01—04
4 capabilities in this set.
Part of 8 available through Speechmatics.
- 01 Capability
Create temp key
Generate a short-lived key for secure client access. This keeps your main credentials safe while giving your agent the access it needs.
- 02 Capability
Delete job
Remove a specific transcription job from your active list. Use this to clean up your workspace or cancel a task that was started by mistake.
- 03 Capability
Generate tts
Turn text into audio using voices like Sarah or Theo. This lets you create high-quality voiceovers for videos or apps without hiring an actor.
- 04 Capability
Get job
Check the current status and details of a specific job. You can use this to see if your transcription is finished or if it encountered any issues.
05—08
4 capabilities in this set.
Part of 8 available through Speechmatics.
- 05 Capability
Get transcript
Pull the finished text from a completed transcription job. This gives you the final text in formats like SRT or JSON for your projects.
- 06 Capability
Get usage
See how much of your account quota you have used so far. This helps you track your costs and stay within your monthly limits.
- 07 Capability
List jobs
View a list of your most recent transcription tasks. You can quickly see what you've processed recently without searching through logs.
- 08 Capability
Create job
Start a new batch transcription for an audio file or URL. This lets you process large files in the background so you can keep working on other tasks.
Set up in minutes
One URL. Then ask Speechmatics to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Speechmatics 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_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Speechmatics for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics URL.
- Step 03
Save and start
Save the connection and enable Speechmatics in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"speechmatics": {
"url": "https://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics
Open Agent mode in chat and ask: "Using Speechmatics, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"speechmatics": {
"url": "https://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics
Ask Copilot: "Using Speechmatics, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"speechmatics": {
"url": "https://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics
Open Cascade and ask: "Using Speechmatics, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"speechmatics": {
"url": "https://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics
Ask Cline: "Using Speechmatics, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add speechmatics --transport http "https://edge.vinkius.com/vk_preview_FRLuaMwEkSVVnPCae4yQUSbZdPUlWPw9NvqN4KDY/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 Speechmatics
Ask Claude: "Using Speechmatics, show me...". 8 tools are ready
Where the request belongs
Work Speechmatics can move forward.
This is for content creators, developers, and data analysts who are tired of manual transcription or building their own audio infrastructure.
Content Creator
Use this on a Tuesday to turn a 30-minute podcast into an SRT subtitle file for YouTube in seconds.
Software Developer
Integrate high-quality text-to-speech into your app without managing complex audio servers.
Data Analyst
Convert hundreds of hours of recorded customer calls into searchable text for sentiment analysis.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDeepgram
Transcribe speech to text with blazing speed and accuracy using neural networks trained on real-world audio at scale.
AssemblyAI
Transcribe and audit audio. manage speech-to-text jobs via AI.
Play.ht (AI Voice Generation & TTS)
Generate ultra-realistic AI voices and convert text to speech instantly using Play.ht's advanced neural engine.
Speechnotes
Transcribe audio files, manage transcription jobs, and export text on Speechnotes with AI agents.
Maestra
Automate transcription, translation, and AI voiceovers via the Maestra.ai REST API.
Cartesia (Voice AI)
Generate lifelike AI voices, clone speech, and transcribe audio with Cartesia's state-of-the-art Sonic models directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Speechmatics connected.
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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 Speechmatics.
The practical details behind the request, access and result.
Can Speechmatics transcribe long audio files for me?
Yes, it is designed to handle large audio files by creating batch transcription jobs. This allows you to process long podcasts or hours of meetings without worrying about timeouts.
Does Speechmatics support SRT files for video subtitles?
Yes, you can export completed transcripts into SRT format. This makes it easy to add accurate captions to your videos quickly.
What kind of voices can I use for text-to-speech?
It includes several natural-sounding human voices like Sarah, Theo, Megan, and Jack. You can choose the one that best fits your project's tone.
How do I keep my API keys safe when using this Connector?
You can use the capability to generate temporary keys. This gives your AI agent the access it needs for a short period without exposing your main credentials.
Is it good for converting meeting recordings into searchable text?
Yes, it's a great way to turn recorded calls or meetings into plain text or JSON. This makes your archives searchable and easy to summarize.
Can I process multiple audio files at the same time?
Yes, the batch transcription capabilities allow you to submit multiple files. You can then monitor the progress of all your jobs in one list.
What formats can I get my transcripts in?
You can use the get_transcript capability to retrieve results in json, txt, or srt (subtitle) formats. Simply specify the format parameter when calling the capability.
Which voices are available for Text-to-Speech?
The generate_tts capability supports four high-quality voices: sarah, theo, megan, and jack. You can choose the one that best fits your content's tone.
How do I check if my transcription job is finished?
Use the get_job capability with your specific job_id. It will return the current status (e.g., running, completed) and metadata about the processing task.
One connection away
Give your agent a direct line to Speechmatics.
Connect Speechmatics once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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