Amplenote MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Amplenote through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Amplenote Assistant",
instructions=(
"You help users interact with Amplenote. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Amplenote"
)
print(result.final_output)
asyncio.run(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 Amplenote MCP Server
Connect your Amplenote account to any AI agent to fuse your personal knowledge base and task manager directly into your daily computational workflows.
The OpenAI Agents SDK auto-discovers all 12 tools from Amplenote through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Amplenote, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Notes & Ideas — Read, create, list, and natively search your entire note library to pull exact context into your AI conversations seamlessly.
- Task Execution — Query specific pending to-dos, update task states, or rapidly create new tasks within specific notes without leaving the chat.
- Tag Management — Dynamically list and analyze the tag hierarchy of your Amplenote system, keeping the AI aware of your organizational framework.
- Action Tracking — Instruct the agent to invoke native Amplenote actions, maintaining deep synchronization between the AI and your existing mental models.
The Amplenote MCP Server exposes 12 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 Amplenote to OpenAI Agents SDK via MCP
Follow these steps to integrate the Amplenote MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Amplenote
Why Use OpenAI Agents SDK with the Amplenote MCP Server
OpenAI Agents SDK provides unique advantages when paired with Amplenote through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Amplenote + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Amplenote MCP Server delivers measurable value.
Automated workflows: build agents that query Amplenote, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Amplenote, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Amplenote tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Amplenote to resolve tickets, look up records, and update statuses without human intervention
Amplenote MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Amplenote to OpenAI Agents SDK via MCP:
create_note
Use for adding documentation, meeting notes, or project plans. Create a new note with a title and Markdown body content
create_task
Tasks in Amplenote live inside notes and have due dates, priorities, and completion tracking. Use for adding actionable items. Create a new task
delete_note
Permanently delete a note by UUID
get_note
Essential for reading or analyzing a specific document. Retrieve the full content and metadata of a specific note by UUID
get_note_actions
Use to discover what operations can be performed on a note. Retrieve available actions for a specific note
get_task
Use to inspect or update a single task. Retrieve a specific task by its ID
list_notes
Use as the primary way to browse the entire knowledge base. List all notes in the Amplenote workspace
list_tags
Returns tag names and usage counts. Use to discover the knowledge taxonomy. List all tags used across notes and tasks
list_tasks
Returns task content, completion status, due dates, and parent note references. Use for task management overview. List all tasks across all notes
search_notes
Use when the user wants to find content by keyword. Full-text search across all Amplenote notes and tasks
update_note
Use for editing content, fixing errors, or appending information. Update an existing note title and/or Markdown body by UUID
update_task
Use for task progress tracking and management. Update a task content, completion status, or other properties
Example Prompts for Amplenote in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Amplenote immediately.
"Create a new note titled 'Project Alpha Planning' and assign it the tag '#work/projects'."
"Search my Amplenote vault for all active tasks containing the word 'Budget'."
"Get the content of my 'Weekly Sync' note."
Troubleshooting Amplenote MCP Server with OpenAI Agents SDK
Common issues when connecting Amplenote to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Amplenote + OpenAI Agents SDK FAQ
Common questions about integrating Amplenote MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Amplenote with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect Amplenote to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.