How to Use the Novu MCP in AutoGen
Coordinate multi-agent debates in AutoGen to approve and trigger complex Novu notification campaigns.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Novu MCP to AutoGen
Create your Vinkius account to connect Novu 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 campaign conflicts with AutoGen and Novu
The `trigger_bulk_event` tool executes batch notifications once your AutoGen agents reach consensus on the target audience. A marketing agent drafts the copy, a compliance agent checks the rules, and a coordinator triggers the batch through this MCP server. If the compliance agent detects an issue, `cancel_trigger` halts pending workflows before they send. This multi-agent verification loop prevents accidental or unapproved messages from reaching your users.
Manage subscriber databases via consensus
The `create_subscriber` tool registers new users only after your agents verify the profile data is complete. One agent parses raw registration logs, while another runs validation checks before calling the tool. When subscriber profiles contain errors, `update_subscriber` corrects the contact details dynamically. This automated cleanup keeps your notification lists accurate without manual data entry.
Configure active integrations safely
The `list_active_integrations` tool queries your active delivery channels to verify system readiness. This MCP server lets your AutoGen agents check which SMS or email providers are online before routing critical messages. If a provider fails, `set_primary_integration` switches your primary channel to an active backup. This automated routing maintains high delivery rates even during provider outages.
Set up Novu 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 Novu 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="Novu_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Novu 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="Novu_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Novu 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 Novu. 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.
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Common questions about Novu MCP in AutoGen
Use it with your favorite AI tools
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