Bring Smpte
to Vercel AI SDK
Learn how to connect SMPTE Timecode Calculator to Vercel AI SDK and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the SMPTE Timecode Calculator MCP Server?
LLMs are notoriously terrible at base-60 and base-30 math. If you ask an AI to add 00:01:23:14 to 00:02:45:21 at 29.97 drop-frame, the result is almost guaranteed to be a hallucination. This MCP fixes that for video automation pipelines.
The Superpowers
- Flawless Base-60 Math: Perform exact frame-accurate addition and subtraction of SMPTE timecodes.
- Drop-Frame Support: Automatically accounts for NTSC 29.97 or 59.94 drop-frame logic.
Built-in capabilities (3)
Pass the frame count and the framerate (24, 25, 30, etc.). Adds two SMPTE timecodes natively supporting drop-frame math
Pass both timecode strings and the framerate, and receive the summed result. Converts absolute frame counts into SMPTE formatted timecode strings
Pass the timecode and framerate. Subtracts two SMPTE timecodes
Why Vercel AI SDK?
The Vercel AI SDK gives every SMPTE Timecode Calculator tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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 SMPTE Timecode Calculator integration everywhere
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Built-in streaming UI primitives let you display SMPTE Timecode Calculator 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
SMPTE Timecode Calculator in Vercel AI SDK
SMPTE Timecode Calculator and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SMPTE Timecode Calculator 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 | 4,000+ 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 SMPTE Timecode Calculator in Vercel AI SDK
The SMPTE Timecode Calculator 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 3 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
SMPTE Timecode Calculator for Vercel AI SDK
Every tool call from Vercel AI SDK to the SMPTE Timecode Calculator MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Does it support drop-frame?
Yes, pass the dropFrame boolean parameter for exact NTSC compliance.
What framerates are supported?
All standard rates: 23.976, 24, 25, 29.97, 30, 50, 59.94, 60.
Can it convert frames to timecode?
Yes, absolute frame counting to SMPTE string is supported.
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
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