How to Use the Loops MCP in AutoGen
Let AutoGen agents debate and coordinate campaign sends, contact updates, and transactional events in Loops via this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Loops MCP to AutoGen
Create your Vinkius account to connect Loops 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.
Coordinate Loops events using AutoGen agents
`send_event` triggers automated email campaigns in Loops once your AutoGen agents reach consensus on user segment criteria. An AutoGen marketing agent drafts the Loops event payload, while a compliance agent reviews the recipient list to ensure accuracy. Only after both AutoGen agents agree does the executor agent trigger the Loops event. That's how you prevent accidental Loops campaign blasts to the wrong user segments during AutoGen runs.
Validate Loops transactional templates in AutoGen
`send_transactional_email` is executed by your transactional AutoGen agent only after the validation agent confirms the data variables match the template schema. The AutoGen agents collaborate to verify that all required Loops variables are present before sending. If any variables are missing, the AutoGen validation agent rejects the proposal and requests the correct data. This prevents empty Loops template variables from reaching your customers' inboxes during automated AutoGen workflows.
Manage Loops contacts via AutoGen MCP Server
`delete_contact` is a destructive action that requires strict multi-agent consensus before execution in your AutoGen group. Your AutoGen admin agent proposes the Loops deletion, and a security agent checks the contact's activity status before approving the call. For safer updates, the AutoGen agents use `update_contact` to modify Loops user groups or names. This collaborative AutoGen workflow ensures your Loops subscriber database is modified only under verified conditions.
Set up Loops 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 Loops 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="Loops_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Loops 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="Loops_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Loops 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 Loops. 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
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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.
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One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Loops MCP in AutoGen
Use it with your favorite AI tools
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