Evernote MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Evernote through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"evernote": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Evernote Agent",
instructions:
"You help users interact with Evernote " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Evernote?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Evernote tool infrastructure. Connect 10 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
- 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 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 Evernote to Mastra AI via MCP
Follow these steps to integrate the Evernote MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Evernote via MCP
Why Use Mastra AI with the Evernote MCP Server
Mastra AI provides unique advantages when paired with Evernote through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Evernote without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Evernote tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Evernote + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Evernote MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Evernote, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Evernote as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Evernote on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Evernote tools alongside other MCP servers
Evernote MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Evernote to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Evernote to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEvernote + Mastra AI FAQ
Common questions about integrating Evernote MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Evernote with your favorite client
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Google's framework for building production AI agents.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Evernote to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.