FlowUs 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 FlowUs 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="FlowUs Assistant",
instructions=(
"You help users interact with FlowUs. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FlowUs"
)
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 FlowUs MCP Server
Empower your AI agent to orchestrate your knowledge base with FlowUs, the versatile collaboration platform for modern individuals and teams. By connecting FlowUs to your agent, you transform complex page organization and database management into a natural conversation. Your agent can instantly list your pages, retrieve block-level content, manage multi-dimensional databases, and even create new entries without you needing to navigate the complex web interface. Whether you are managing personal notes, project documentation, or shared team databases, your agent acts as a real-time knowledge assistant, keeping your workspace organized and your information accessible.
The OpenAI Agents SDK auto-discovers all 10 tools from FlowUs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries FlowUs, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Page Orchestration — List all accessible pages and retrieve detailed metadata about your workspace structure.
- Block Management — Browse content blocks within pages to access text and media information instantly.
- Database Control — Manage multi-dimensional tables (databases) with full support for querying and creating new rows.
- Workspace Organization — Create and update pages to maintain a clean and structured knowledge base.
- Team Coordination — Access workspace user lists to manage participation and collaboration effectively.
The FlowUs 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 FlowUs to OpenAI Agents SDK via MCP
Follow these steps to integrate the FlowUs 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 FlowUs
Why Use OpenAI Agents SDK with the FlowUs MCP Server
OpenAI Agents SDK provides unique advantages when paired with FlowUs 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
FlowUs + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FlowUs MCP Server delivers measurable value.
Automated workflows: build agents that query FlowUs, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries FlowUs, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FlowUs tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FlowUs to resolve tickets, look up records, and update statuses without human intervention
FlowUs MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect FlowUs to OpenAI Agents SDK via MCP:
create_database_row
Add row to database
create_page
Create a new FlowUs page
get_database
Get database schema
get_page
Get page details
list_blocks
) within a specific page. List page blocks
list_databases
List all FlowUs databases
list_pages
List all FlowUs pages
list_users
List workspace users
query_database
Query database rows
update_page
Update an existing page
Example Prompts for FlowUs in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FlowUs immediately.
"List all pages in my FlowUs workspace."
"Query the 'Product Backlog' database for items with 'High' priority."
"Add a new row to the 'User Feedback' database with Name='Renato' and Feedback='Love the AI integration!'."
Troubleshooting FlowUs MCP Server with OpenAI Agents SDK
Common issues when connecting FlowUs to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FlowUs + OpenAI Agents SDK FAQ
Common questions about integrating FlowUs 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 FlowUs 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 FlowUs to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.