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OneNote MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OneNote through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "onenote": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "OneNote Agent",
    instructions:
      "You help users interact with OneNote " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with OneNote?"
  );
  console.log(result.text);
}

main();
OneNote
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and OneNote tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the OneNote MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 7 tools from OneNote via MCP

Why Use Mastra AI with the OneNote MCP Server

Mastra AI provides unique advantages when paired with OneNote through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add OneNote without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every OneNote tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

OneNote + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the OneNote MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query OneNote, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed OneNote as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query OneNote on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using OneNote tools alongside other MCP servers

OneNote MCP Tools for Mastra AI (7)

These 7 tools become available when you connect OneNote to Mastra AI via MCP:

01

get_notebook

Use this to dive deeper into a container's permissions or basic configurations. Get detailed properties of a specific notebook

02

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

03

list_notebooks

Identifies primary containers necessary to navigate the hierarchical structure of OneNote. List all Microsoft OneNote notebooks

04

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

05

list_section_groups

Used for navigating highly complex, multi-layered textbook hierarchies inside OneNote. List section groups inside a specific notebook

06

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

07

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 Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with OneNote immediately.

01

"Search globally across my entire OneNote environment finding paragraphs explicitly mentioning Project Alpha."

02

"List all active structural Notebooks visibly mapping currently in my domain."

03

"I need the exact written contents housed within page ID 1-3xx45... immediately."

Troubleshooting OneNote MCP Server with Mastra AI

Common issues when connecting OneNote to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

OneNote + Mastra AI FAQ

Common questions about integrating OneNote MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect OneNote to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.