Momence 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 Momence as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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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="momence_agent",
tools=tools,
system_message=(
"You help users with Momence. "
"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 Momence MCP Server
Connect your Momence studio to any AI agent and manage your fitness business through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Momence 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
- Sessions — View upcoming classes with teacher, capacity, waitlist, and streaming links
- Members — Search member database, view credits, tags, and attendance history
- Teachers — List instructors with bios, specialties, and class assignments
- Memberships — Browse plans: unlimited, class packs, intro offers, trials
- Bookings — Track who booked which session, check-in and waitlist status
- Locations — Manage multi-location studios with rooms and timezone
- Products — View retail items, digital content, and merchandise
The Momence 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 Momence to AutoGen via MCP
Follow these steps to integrate the Momence 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 Momence automatically
Why Use AutoGen with the Momence MCP Server
AutoGen provides unique advantages when paired with Momence through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Momence tools to solve complex tasks
Role-based architecture lets you assign Momence 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 Momence tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Momence tool responses in an isolated environment
Momence + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Momence MCP Server delivers measurable value.
Collaborative analysis: one agent queries Momence while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Momence, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Momence data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Momence responses in a sandboxed execution environment
Momence MCP Tools for AutoGen (10)
These 10 tools become available when you connect Momence to AutoGen via MCP:
get_member
Get member profile
get_session
Get session details
list_bookings
List session bookings
list_locations
List studio locations
list_memberships
List membership plans
list_products
List products/retail
list_session_types
with description, default duration, and default teacher. List class types
list_sessions
Filter by date range. List scheduled sessions
list_teachers
List teachers/instructors
search_members
Returns profile, active memberships, credits, and visit history. Search studio members
Example Prompts for Momence in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Momence immediately.
"How full are tomorrow's yoga classes?"
"List the upcoming classes for instructor Sarah."
"How many active members are on the Unlimited Monthly plan?"
Troubleshooting Momence MCP Server with AutoGen
Common issues when connecting Momence to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Momence + AutoGen FAQ
Common questions about integrating Momence 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 Momence 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 Momence to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.