Evernote 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 Evernote through the 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 Evernote, 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 Evernote MCP Server
Connect your Evernote account to any AI agent and take full control of your personal knowledge management and note-taking workflows through natural conversation.
The Vercel AI SDK gives every Evernote tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Note & Content Orchestration — Retrieve the full body and metadata of any note by GUID, including ENML body content and nested attachment attributes natively
- Semantic & Syntax Search — Execute powerful queries across all notebooks using Evernote's advanced syntax (keywords, tag filters, creation dates) to find information instantly
- Notebook Management — List all notebooks and retrieve detailed metadata including note counts and stack assignments to browse your workspace hierarchy
- Live Note Creation — Provision new notes inside specific notebooks by providing titles and plain-text or ENML content for immediate cross-device synchronization
- Categorical Tagging — Enumerate explicitly defined tags and manage nested tag hierarchies to filter and organize your personal database strictly
- Account & Quota Oversight — Fetch authenticated profile information including account tier, service level, and real-time quota usage to monitor system limits
- Metadata Auditing — Retrieve structural notebook representations and identify default status boundaries to manage your organizational topology flawlessly
The Evernote 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 Evernote to Vercel AI SDK via MCP
Follow these steps to integrate the Evernote 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 Evernote and passes them to the LLM
Why Use Vercel AI SDK with the Evernote MCP Server
Vercel AI SDK provides unique advantages when paired with Evernote 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 Evernote integration everywhere
Built-in streaming UI primitives let you display Evernote 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
Evernote + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Evernote MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Evernote in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Evernote tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Evernote capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Evernote through natural language queries
Evernote MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Evernote to Vercel AI SDK via MCP:
create_note
The note is immediately synced and available across all Evernote clients. Create a new note inside a specified Evernote notebook
create_notebook
Returns the newly created notebook GUID and metadata. Create a new Evernote notebook
get_note
The content is returned in Evernote Markup Language (ENML). Retrieve the full content and metadata of a single Evernote note by GUID
get_notebook
Fetch detailed metadata for a specific Evernote notebook by its GUID
get_user
Get profile information for the currently authenticated Evernote user
list_notebooks
Use this to discover available notebooks before listing notes within them. Retrieve all Evernote notebooks for the authenticated account
list_notes
Use en.get_note to fetch full content. List up to 50 notes inside a specific Evernote notebook
list_tags
Useful for filtering and organizing notes. Retrieve all tags defined in the Evernote account
search_notes
Returns matching note metadata. Search across all Evernote notes using Evernote's powerful query syntax
update_note
This triggers a sync and increments the updateSequenceNum. Update the title and/or content of an existing Evernote note
Example Prompts for Evernote in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Evernote immediately.
"Create a note in 'Work' notebook with title 'Meeting Actions' and content 'Follow up with team.'"
"Search for notes containing 'recipe' and tagged 'favorite'"
"List all my notebooks and their note counts"
Troubleshooting Evernote MCP Server with Vercel AI SDK
Common issues when connecting Evernote to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEvernote + Vercel AI SDK FAQ
Common questions about integrating Evernote 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 Evernote with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Evernote to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.