OneAI MCP, Ready to Go
Use OneAI with Claude or Cursor to automate audio transcription and sentiment analysis for your content and data workflows.
No credit card required. Experience the power of this integration risk-free.
Turn long audio, video, and text into structured data.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the OneAI Connector?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.
Waiting for input…
What AI agents can do with OneAI 3 Tools for Transcription & NLP
Use these tools to summarize text, transcribe audio, and track long-running analysis jobs.
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.
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.
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.
A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.
You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
OneAI Transcription and Text Analysis for Content Teams
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.
Frequently Asked Questions
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 tool. 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 tool with the task_id returned by the async pipeline. It will provide the current status and the final results once completed.
Your AI, connected to everything.
No credit card required · Free tier available
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