OneNote MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OneNote through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 OneNote, 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 OneNote MCP Server
Empower your conversational AI with omniscient access to your Microsoft OneNote digital brain. Transform how you organize information by linking an AI agent capable of drilling into deep notebooks, parsing hidden sections, explicitly searching across thousands of pages organically, and seamlessly capturing new notes from the chat interface without switching tabs.
The Vercel AI SDK gives every OneNote tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Deep Search & Indexing — Invoke robust global searches discovering specific keywords across all active Notebook domains instantly without waiting for native indexing.
- Page Content Extraction — Drill cleanly into specific distinct Pages fetching raw text securely preventing you from hunting through nested hierarchies manually.
- Workspace Navigation — List structural trees mapping your distinct Notebooks, Section Groups, and Sections cleanly traversing your organizational logic entirely.
- Content Appending — Dispatch text blocks, parsed summaries, or quick thoughts into existing notebook sections cleanly right from the LLM prompt conversationally.
The OneNote MCP Server exposes 7 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 OneNote to Vercel AI SDK via MCP
Follow these steps to integrate the OneNote 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 7 tools from OneNote and passes them to the LLM
Why Use Vercel AI SDK with the OneNote MCP Server
Vercel AI SDK provides unique advantages when paired with OneNote 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 OneNote integration everywhere
Built-in streaming UI primitives let you display OneNote 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
OneNote + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OneNote MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OneNote in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OneNote tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OneNote capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OneNote through natural language queries
OneNote MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect OneNote to Vercel AI SDK via MCP:
get_notebook
Use this to dive deeper into a container's permissions or basic configurations. Get detailed properties of a specific notebook
get_page_content
By default, OneNote pages are serialized using complex Microsoft Graph HTML formats with proprietary tags. Use this to ingest the actual written text or data. Retrieve the exact raw HTML content of a single page
list_notebooks
Identifies primary containers necessary to navigate the hierarchical structure of OneNote. List all Microsoft OneNote notebooks
list_pages
Results include the bare page metadata (IDs, titles, timestamps), but notably DO NOT include the heavy internal raw HTML content. Used for structural indexing. List all pages contained within a specific section
list_section_groups
Used for navigating highly complex, multi-layered textbook hierarchies inside OneNote. List section groups inside a specific notebook
list_sections
Sections act as the folders containing the raw pages. Requires passing the parent Notebook ID to query the correct topological children. List all sections contained within a specific notebook
search_pages
Useful when navigating deep, unindexed trees where discovering a particular keyword manually would exceed logic boundaries. Search page contents globally across all available notebooks
Example Prompts for OneNote in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OneNote immediately.
"Search globally across my entire OneNote environment finding paragraphs explicitly mentioning Project Alpha."
"List all active structural Notebooks visibly mapping currently in my domain."
"I need the exact written contents housed within page ID 1-3xx45... immediately."
Troubleshooting OneNote MCP Server with Vercel AI SDK
Common issues when connecting OneNote to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOneNote + Vercel AI SDK FAQ
Common questions about integrating OneNote 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 OneNote 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 OneNote to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.