Compatible with every major AI agent and IDE
Create note on Evernote
The note is immediately synced and available across all Evernote clients. Create a new note inside a specified Evernote notebook
Create notebook on Evernote
Returns the newly created notebook GUID and metadata. Create a new Evernote notebook
Get note on Evernote
The content is returned in Evernote Markup Language (ENML). Retrieve the full content and metadata of a single Evernote note by GUID
Get notebook on Evernote
Fetch detailed metadata for a specific Evernote notebook by its GUID
Get user on Evernote
Get profile information for the currently authenticated Evernote user
List notebooks on Evernote
Use this to discover available notebooks before listing notes within them. Retrieve all Evernote notebooks for the authenticated account
List notes on Evernote
Use en.get_note to fetch full content. List up to 50 notes inside a specific Evernote notebook
List tags on Evernote
Useful for filtering and organizing notes. Retrieve all tags defined in the Evernote account
Search notes on Evernote
Returns matching note metadata. Search across all Evernote notes using Evernote's powerful query syntax
Update note on Evernote
This triggers a sync and increments the updateSequenceNum. Update the title and/or content of an existing Evernote note
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Can my agent search for notes with specific tags in Evernote?
Yes. Use the 'search_notes' tool. You can use Evernote's query syntax like 'tag:work' or 'tag:ideas' to filter results. The agent executes the structural match and returns matching note metadata.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Evernote?
The Evernote integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
personal knowledge base & AI Execution
Deploy the Evernote toolkit to manage personal knowledge base. The integration offers robust endpoints for ChatGPT to control productivity settings.
Managing document storage inside Claude
The Evernote MCP translates LLM intent into specific document storage actions. Agents like Cursor use this to interface securely with your productivity infrastructure.
Evernote. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
Explore More MCP Servers
View all →
Heyzine
12 toolsTransform PDFs into interactive flipbooks with page-turn animations, embedded media, and sharing analytics for digital publishing.

Time-Series Seasonality Engine
1 toolsCompute exact Autocorrelation (ACF) to find seasonality lags in time-series data without hallucination.

MoonMail
10 toolsManage email marketing via MoonMail — track campaigns, subscriber lists, and engagement directly from your AI agent.

Mapulus
9 toolsMapulus Location Intelligence for Australia — access boundaries, demographics, and spatial analytics.
