Dopplio MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Capture Screenshot, Generate Video, Get Render Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dopplio through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Dopplio app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Dopplio, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Dopplio MCP Server
Connect your Dopplio account to any AI agent and take full control of your multimedia automation and document rendering workflows through natural conversation.
The Vercel AI SDK gives every Dopplio 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.
What you can do
- AI Video Orchestration — Start and manage asynchronous video generation tasks using advanced lipsync and voice cloning technology programmatically
- Document Architecture — Programmatically generate high-fidelity PDF documents from HTML strings or public URLs for immediate reporting and invoicing
- Visual Intelligence — Capture automated screenshots of any website with customizable viewports and formats to monitor web assets or create content
- Workflow Monitoring — Track the real-time status of your multimedia rendering jobs to maintain high-fidelity operational transparency
- Library Visibility — Access your complete directory of generated videos and retrieve detailed metadata and hosting links directly through your agent
The Dopplio MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Dopplio tools available for Vercel AI SDK
When Vercel AI SDK connects to Dopplio through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-personalization, ai-video, document-rendering, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Capture a website screenshot
Provide template and personalization data. Generate AI-personalized video
Check status of a render job
Get specific video details
List all generated videos
Provide "url" or "html" in the JSON body. Render a PDF from URL or HTML
Connect Dopplio to Vercel AI SDK via MCP
Follow these steps to wire Dopplio into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Dopplio MCP Server
Vercel AI SDK provides unique advantages when paired with Dopplio through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Dopplio integration everywhere
Built-in streaming UI primitives let you display Dopplio tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Dopplio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dopplio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dopplio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dopplio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dopplio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dopplio through natural language queries
Example Prompts for Dopplio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dopplio immediately.
"Render a PDF from the URL 'https://vinkius.com/report'."
"Capture a mobile screenshot of 'google.com'."
"Check the status of my video rendering job 'job_123'."
Troubleshooting Dopplio MCP Server with Vercel AI SDK
Common issues when connecting Dopplio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDopplio + Vercel AI SDK FAQ
Common questions about integrating Dopplio MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.