Bring Teyuto
to Vercel AI SDK
Learn how to connect Teyuto to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Teyuto MCP Server?
Connect your Teyuto account to any AI agent and manage your video platform.
What you can do
- Video Management — List and inspect videos with full metadata
- Video Analytics — View watch time, view counts, and engagement metrics
- Collection Management — List and inspect video collections
- User Management — List users and view detailed profiles
- Channel Access — Browse available channels
- Subscription Plans — View plan pricing and features
Built-in capabilities (10)
Verify API connectivity
Get collection details
Get user details
Get video details
Get video analytics
List channels
List collections
List subscriptions
List all users
List all videos
Why Vercel AI SDK?
The Vercel AI SDK gives every Teyuto tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Teyuto integration everywhere
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Built-in streaming UI primitives let you display Teyuto 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
Teyuto in Vercel AI SDK
Teyuto and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Teyuto 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 Teyuto in Vercel AI SDK
The Teyuto 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 10 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
Teyuto for Vercel AI SDK
Every tool call from Vercel AI SDK to the Teyuto MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI show video analytics?
Yes. get_video_analytics returns view counts, watch time, and engagement data for any video.
How do I browse video collections?
Use list_collections to see all collections, then get_collection for details including its videos.
Can I list users and check subscriptions?
Yes. list_users shows all users and list_subscriptions shows all plans with pricing.
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