Notion MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Notion through the 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="Notion Assistant",
instructions=(
"You help users interact with Notion. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Notion"
)
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 Notion MCP Server
Unlock the full potential of your connected workspace by linking Notion to your AI agent. This integration transforms Notion from a static documentation hub into a dynamic, queryable engine for your AI workflows. Your agent can now perform global fuzzy searches to locate misplaced documents, query structured databases to extract tabular data, and even read deep into nested block hierarchies to summarize project specs or meeting notes. Whether you're automating task creation or retrieving team knowledge, your agent acts as an intelligent librarian for your entire Notion domain.
The OpenAI Agents SDK auto-discovers all 10 tools from Notion through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Notion, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Global Search — Rapidly find pages and databases across your workspace by title or content using fuzzy text matching.
- Database Orchestration — Query databases to read structured data rows or fetch the exact schema defining your trackers.
- Deep Content Reading — Access metadata and dive into nested paragraphs, lists, and images using advanced block retrieval.
- Record Creation — Programmatically create new pages or insert data rows directly inside specific Notion containers.
- Identity Mapping — Enumerate all workspace users and bots to accurately map assignee tags to team members.
The Notion 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 Notion to OpenAI Agents SDK via MCP
Follow these steps to integrate the Notion 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 10 tools from Notion
Why Use OpenAI Agents SDK with the Notion MCP Server
OpenAI Agents SDK provides unique advantages when paired with Notion 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
Notion + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Notion MCP Server delivers measurable value.
Automated workflows: build agents that query Notion, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Notion, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Notion tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Notion to resolve tickets, look up records, and update statuses without human intervention
Notion MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Notion to OpenAI Agents SDK via MCP:
archive_page
Archive/Delete a Notion Page
create_page
Insert a new row/page inside a Database
get_blocks
Read hierarchical textual content under a Page
get_database
) defining rows within a Database. Retrieve the schema definition of a Database
get_page
Does NOT fetch body text. Retrieve metadata properties for a single Notion Page
list_users
Enumerate workspace members and bots
query_database
Read structured data rows from a Notion Database
search_databases
Essential for tracking down Database UUIDs. Fuzzy text search globally across Notion workspace Databases
search_pages
Necessary to locate Page UUIDs rapidly. Fuzzy text search globally across Notion workspace pages
update_page_title
Update the title of a Notion Page
Example Prompts for Notion in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Notion immediately.
"Search my Notion workspace for any pages containing 'Q4 Marketing Strategy'."
"Create a new row in my Project Tasks database marking the title as 'Update API Docs'."
"List all team members currently registered in my Notion."
Troubleshooting Notion MCP Server with OpenAI Agents SDK
Common issues when connecting Notion to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Notion + OpenAI Agents SDK FAQ
Common questions about integrating Notion 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 Notion 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 Notion to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
