Plaud MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Plaud 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Plaud, 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 Plaud MCP Server
Empower your AI agent to orchestrate your entire voice-to-intelligence ecosystem with Plaud, the AI voice recorder. By connecting Plaud to your agent, you transform complex recording management into a natural conversation. Your agent can instantly list your files, retrieve AI-generated transcripts, and audit meeting summaries without you ever touching a dashboard. Whether you are capturing client meetings, lectures, or personal notes, your agent acts as a real-time intelligence assistant, ensuring your spoken data is always accessible and organized.
The Vercel AI SDK gives every Plaud 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.
What you can do
- Recording Auditing — List all recordings in your account and retrieve detailed metadata for each, including creation dates.
- Intelligence Extraction — Query full transcripts and AI summaries for any recording instantly to capture key insights.
- Organization Management — List all folders and tags to keep your recording library structured and easy to browse.
- Data Governance — Update file names and autonomously delete recordings when they are no longer needed.
- Asset Access — Retrieve secure download URLs for your audio files to maintain local backups or share recordings.
The Plaud MCP Server exposes 10 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.
How to Connect Plaud to Vercel AI SDK via MCP
Follow these steps to integrate the Plaud MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Plaud and passes them to the LLM
Why Use Vercel AI SDK with the Plaud MCP Server
Vercel AI SDK provides unique advantages when paired with Plaud 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 Plaud integration everywhere
Built-in streaming UI primitives let you display Plaud 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
Plaud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Plaud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Plaud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Plaud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Plaud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Plaud through natural language queries
Plaud MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Plaud to Vercel AI SDK via MCP:
delete_file
Delete a Plaud recording
get_download_url
Get MP3 download URL for a recording
get_file_detail
Get details for a specific recording
get_me
Get Plaud account details
get_summary
Get AI summary for a recording
get_transcript
Get transcription for a recording
list_files
List all Plaud recordings
list_folders
List all recording folders
list_tags
List all recording tags
update_file
Update recording metadata
Example Prompts for Plaud in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Plaud immediately.
"List my last 5 recordings in Plaud."
"Summarize the recording titled 'Strategy Session'."
"Show me my recording folders."
Troubleshooting Plaud MCP Server with Vercel AI SDK
Common issues when connecting Plaud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPlaud + Vercel AI SDK FAQ
Common questions about integrating Plaud 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.Connect Plaud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Plaud to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.