How to Use the Momence MCP in AutoGen
Empower your AutoGen multi-agent teams to coordinate Momence bookings, check schedules, and manage studio operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Momence MCP to AutoGen
Create your Vinkius account to connect Momence to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Resolve Momence booking conflicts with AutoGen
The `list_bookings` tool allows your scheduling agent to pull active registration lists for any class. If a conflict arises, a separate customer service agent can coordinate with the booking agent to resolve the issue before notifying the client. By using `get_session` alongside these agents, your system can automatically reassign overbooked clients to alternative classes. These agents debate the best resolution path, ensuring no client is left without a spot.
Manage teachers and locations via MCP Server
Your agent team uses `list_teachers` to track instructor availability across different physical locations. The MCP Server provides direct access to `list_locations`, allowing your agents to map out staff distribution across all your studios. When an instructor calls out sick, a coordinator agent can query `list_session_types` to find qualified replacements. They negotiate the optimal schedule adjustment and update the session details automatically.
Audit retail and memberships autonomously
The `list_memberships` tool provides complete visibility into your pricing plans, which your billing agent can cross-reference with client profiles. Using `search_members`, the agent identifies accounts with expiring memberships or negative balances. A separate sales agent can then query `list_products` to suggest retail upsells during the renewal conversation. This collaborative agent workflow runs entirely in the background, keeping your studio's revenue streams optimized.
Set up Momence MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Momence tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Momence_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Momence data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Momence_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Momence data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Momence. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Momence MCP in AutoGen
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