OneAI Connector for AI agents.
3 live capabilities
Turn long audio, video, and text into structured data.
Waiting for input…
Why people use OneAI
OneAI Transcription and Text Analysis for Content Teams
With this Connector, you can simply point your agent at a recording or a long document. It handles the transcription and summary automatically, giving you a structured set of notes in seconds.
What Vinkius changes
It turns raw media and text into organized data points in a few clicks.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Podcast Repurposing
A podcaster asks their agent to transcribe a 90-minute interview and generate a summary of the key takeaways.
- Real-world use case 02
Customer Feedback Loop
An analyst asks the agent to scan 500 reviews and extract a list of common product complaints and sentiments.
- Real-world use case 03
Research Paper Extraction
A researcher provides a URL to a long white paper and asks the agent to extract all mentioned dates and locations.
Complete set · 3capabilities
The complete OneAI capability set.
These are the exact actions your AI can choose when you ask it to work with OneAI.
01—03
3 capabilities in this set.
Part of 3 available through OneAI.
- 01 Capability
Get async task status
Check if a long-running file process is finished and grab the data. Use this to see when your transcription or large file analysis is ready.
- 02 Capability
Run async pipeline
Start a background job for large files or audio transcription. It is the best way to handle media that takes a few minutes to process.
- 03 Capability
Run pipeline
Run a quick summary, sentiment check, or entity extraction on a piece of text. This allows you to get immediate results for short content.
Set up in minutes
One URL. Then ask OneAI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use OneAI 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_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable OneAI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI URL.
- Step 03
Save and start
Save the connection and enable OneAI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"oneai": {
"url": "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI
Open Agent mode in chat and ask: "Using OneAI, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"oneai": {
"url": "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI
Ask Copilot: "Using OneAI, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"oneai": {
"url": "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI
Open Cascade and ask: "Using OneAI, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"oneai": {
"url": "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI
Ask Cline: "Using OneAI, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add oneai --transport http "https://edge.vinkius.com/vk_preview_OUuZaJpMXxYZjYxd7ELA63wi1sMTV0hm1c50LuC2/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 OneAI
Ask Claude: "Using OneAI, show me...". 3 tools are ready
Where the request belongs
Work OneAI can move forward.
This is for content creators who need to repurpose media, data analysts sifting through mountains of feedback, and developers who want high-quality NLP without building models.
Content Creator
Turns a two-hour podcast into a blog post and five social media snippets on a Tuesday afternoon.
Data Analyst
Sifts through 1,000 customer support emails to identify the top three recurring complaints.
NLP Developer
Integrates sentiment analysis and entity extraction into a company dashboard without training a custom model.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsNLP Cloud
High-performance NLP API for text summarization, entity extraction, classification, sentiment analysis, ASR, and translation.
Rev.ai
High-accuracy speech-to-text and transcription. submit media files, generate AI summaries, and create captions directly from your AI agent.
Symbl.ai
Extract conversation intelligence from audio, video, and text. get summaries, action items, and topics directly from any AI agent.
MeaningCloud
Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarization.
TextRazor
Advanced Natural Language Processing (NLP) to extract entities, topics, and relations from text or URLs.
Deterministic Text Summarizer & Extractor
Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and generate extractive summaries without external API calls.
Bring your own AI
Change the model, client or framework. Keep OneAI 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 OneAI.
The practical details behind the request, access and result.
Can OneAI transcribe my podcast files?
Yes. OneAI can convert audio and video files into text, making it easy to turn your spoken content into blog posts or show notes.
How does OneAI handle very long documents?
OneAI uses background processing for large files. This means it can handle long research papers or massive documents that would normally overwhelm a standard chat.
Can OneAI tell me if customer reviews are positive or negative?
Yes. It includes sentiment analysis skills that allow your agent to gauge the emotional tone of feedback and summarize the main complaints.
Do I need to build my own models to use OneAI?
No. OneAI comes with pre-trained language skills, so you can start analyzing text and media immediately without any technical setup.
Does OneAI work with Claude or Cursor?
Yes. It is a standard MCP that connects to any compatible client, including Claude, Cursor, and Windsurf.
Can I extract specific names and dates from a text block?
OneAI can identify and pull out specific entities like names, dates, and locations from any text you provide.
How can I summarize a text and extract entities at the same time?
Use the run_pipeline capability. Provide your text in the input field and define the steps as a JSON array like [{"skill":"summarize"}, {"skill":"entities"}].
What should I use for processing large audio files?
Use run_async_pipeline. You can provide a content_url for the audio file and set the steps to include the transcribe skill. This starts a background task.
How do I know when my asynchronous processing is finished?
Use the get_async_task_status capability with the task_id returned by the async pipeline. It will provide the current status and the final results once completed.
One connection away
Give your agent a direct line to OneAI.
Connect OneAI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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