tl;dv MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Api Status, Get Meeting Details, Get Meeting Duration, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect tl;dv 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 tl;dv app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 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 tl;dv, 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 tl;dv MCP Server
Connect your tl;dv account to any AI agent and simplify how you manage your meeting recordings, transcripts, and AI-generated insights through natural conversation.
The Vercel AI SDK gives every tl;dv tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Meeting Oversight — List all recorded meetings and retrieve detailed metadata, including participants and duration.
- Transcript Access — Fetch full transcriptions for any meeting to search for specific discussion points.
- AI Insights — Read AI-generated notes, summaries, and key moments (highlights) to quickly understand meeting outcomes.
- External Import — Programmatically import meeting recordings from external URLs for processing.
- Content Retrieval — Get direct download links for video recordings and access recent transcripts instantly.
- Operational Monitoring — Check API connectivity and account status directly from the agent.
The tl;dv MCP Server exposes 12 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 12 tl;dv tools available for Vercel AI SDK
When Vercel AI SDK connects to tl;dv through Vinkius, your AI agent gets direct access to every tool listed below — spanning meeting-transcription, call-recording, summarization, 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.
Check connection
Get meeting info
Check call length
Get key moments
Read AI summaries
List attendees
Read transcription
Get video file URL
Upload recording URL
List latest transcripts
List recent meetings
Verify credentials
Connect tl;dv to Vercel AI SDK via MCP
Follow these steps to wire tl;dv 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 tl;dv MCP Server
Vercel AI SDK provides unique advantages when paired with tl;dv 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 tl;dv integration everywhere
Built-in streaming UI primitives let you display tl;dv 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
tl;dv + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the tl;dv MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query tl;dv in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate tl;dv tools and return structured JSON responses to any frontend
Chatbots with tool use: embed tl;dv capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with tl;dv through natural language queries
Example Prompts for tl;dv in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with tl;dv immediately.
"List all my recorded meetings from this month."
"Summarize the key decisions made in the 'Q4 Roadmap Sync' meeting."
"Show me who attended the meeting with 'Alex' (ID: mtg_88231)."
Troubleshooting tl;dv MCP Server with Vercel AI SDK
Common issues when connecting tl;dv to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcptl;dv + Vercel AI SDK FAQ
Common questions about integrating tl;dv 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.