FlowUs MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add FlowUs as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="flowus_agent",
tools=tools,
system_message=(
"You help users with FlowUs. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use FlowUs tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the FlowUs MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from FlowUs automatically
Why Use AutoGen with the FlowUs MCP Server
AutoGen provides unique advantages when paired with FlowUs through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use FlowUs tools to solve complex tasks
Role-based architecture lets you assign FlowUs tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive FlowUs tool calls
Code execution sandbox: AutoGen agents can write and run code that processes FlowUs tool responses in an isolated environment
FlowUs + AutoGen Use Cases
Practical scenarios where AutoGen combined with the FlowUs MCP Server delivers measurable value.
Collaborative analysis: one agent queries FlowUs while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from FlowUs, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using FlowUs data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process FlowUs responses in a sandboxed execution environment
FlowUs MCP Tools for AutoGen (10)
These 10 tools become available when you connect FlowUs to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting FlowUs to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"FlowUs + AutoGen FAQ
Common questions about integrating FlowUs MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.