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Evernote MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Evernote through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Evernote Assistant",
            instructions=(
                "You help users interact with Evernote. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Evernote"
        )
        print(result.final_output)

asyncio.run(main())
Evernote
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* 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 OpenAI Agents SDK auto-discovers all 10 tools from Evernote through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Evernote, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Evernote MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Evernote

Why Use OpenAI Agents SDK with the Evernote MCP Server

OpenAI Agents SDK provides unique advantages when paired with Evernote through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Evernote + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Evernote MCP Server delivers measurable value.

01

Automated workflows: build agents that query Evernote, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Evernote, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Evernote tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Evernote to resolve tickets, look up records, and update statuses without human intervention

Evernote MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Evernote to OpenAI Agents SDK via MCP:

01

create_note

The note is immediately synced and available across all Evernote clients. Create a new note inside a specified Evernote notebook

02

create_notebook

Returns the newly created notebook GUID and metadata. Create a new Evernote notebook

03

get_note

The content is returned in Evernote Markup Language (ENML). Retrieve the full content and metadata of a single Evernote note by GUID

04

get_notebook

Fetch detailed metadata for a specific Evernote notebook by its GUID

05

get_user

Get profile information for the currently authenticated Evernote user

06

list_notebooks

Use this to discover available notebooks before listing notes within them. Retrieve all Evernote notebooks for the authenticated account

07

list_notes

Use en.get_note to fetch full content. List up to 50 notes inside a specific Evernote notebook

08

list_tags

Useful for filtering and organizing notes. Retrieve all tags defined in the Evernote account

09

search_notes

Returns matching note metadata. Search across all Evernote notes using Evernote's powerful query syntax

10

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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Evernote immediately.

01

"Create a note in 'Work' notebook with title 'Meeting Actions' and content 'Follow up with team.'"

02

"Search for notes containing 'recipe' and tagged 'favorite'"

03

"List all my notebooks and their note counts"

Troubleshooting Evernote MCP Server with OpenAI Agents SDK

Common issues when connecting Evernote to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Evernote + OpenAI Agents SDK FAQ

Common questions about integrating Evernote MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Evernote to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.