Bring Ai Video
to Vercel AI SDK
Learn how to connect Vadoo AI to Vercel AI SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Vadoo AI MCP Server?
Connect your AI agent to Vadoo AI to natively generate multimedia content, clip long videos, and synthesize podcasts directly via text prompts.
What you can do
- Video Generation — Create high-quality videos just by typing a descriptive prompt and selecting a voice.
- Clips & Captions — Provide a long video URL and let the AI automatically extract engaging short clips or generate precise subtitles.
- Podcast Creation — Synthesize entire podcast episodes based on a specific topic or script without recording any audio.
- Task Tracking — Query the generation status of your multimedia tasks in real-time.
How it works
1. Retrieve your API Key from the Vadoo AI dashboard.
2. Provide the key to this integration.
3. Instruct your AI agent to generate a video about 'Space Exploration' or create clips from a YouTube link.
Who is this for?
- Content Creators — Scale your social media output by generating clips and captions on the fly.
- Marketers — Create promotional videos and podcasts dynamically.
- Developers — Hook multimedia generation endpoints directly into your pipelines.
Built-in capabilities (6)
Check video generation status
Get details of a completed video
Create short clips from video
Generate video captions
Generate AI podcast
Generate AI video from prompt
Why Vercel AI SDK?
The Vercel AI SDK gives every Vadoo AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Vadoo AI integration everywhere
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Built-in streaming UI primitives let you display Vadoo AI tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vadoo AI in Vercel AI SDK
Vadoo AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Vadoo AI to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Vadoo AI in Vercel AI SDK
The Vadoo AI MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Vadoo AI for Vercel AI SDK
Every tool call from Vercel AI SDK to the Vadoo AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I generate an entire podcast just from a topic string?
Yes. By invoking the 'vadooai_generate_podcast' tool and supplying a simple topic, the API synthesizes the audio and returns a task ID to track it.
How do I download the generated video?
Use the 'vadooai_check_video_status' tool with your Task/Video ID. Once generation is complete, the API will return the direct download URL.
Is it possible to extract short clips from a YouTube URL?
Yes. Provide the video URL to the 'vadooai_create_clips' tool, and Vadoo AI will automatically parse the video and generate short-form clips.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp