How to Use the FunnelCockpit MCP in AutoGen
Let your AutoGen agent team debate and execute the best FunnelCockpit marketing strategy. Build consensus before acting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FunnelCockpit MCP to AutoGen
Create your Vinkius account to connect FunnelCockpit 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.
Multi-Agent Marketing Strategy
Go beyond single-minded bots. With AutoGen, you can create a team of agents to manage your FunnelCockpit account. A "GrowthHacker" agent might propose a new campaign, using `list_funnels` to find a template. But then, a "DataAnalyst" agent can step in, call `get_funnel` to check the stats of similar funnels, and argue that a different approach is needed. The agents debate and converge on a plan before a single action is taken.
Debate and Execute Contact Updates
Modifying customer data is serious business. Instead of a single script blindly running `update_contact`, you can have a "Compliance" agent and an "Ops" agent discuss the change first. The Ops agent might propose an update based on new information. The Compliance agent can then use `get_contact` to check for GDPR consent flags before approving the `update_contact` call. It's a built-in sanity check.
Build a Self-Correcting Team with this MCP Server
AutoGen agents can work together to monitor and improve your funnels. One agent can periodically run `check_funnelcockpit_status` to ensure the API is healthy. Another can run `list_campaigns` and flag any that haven't had activity in 30 days. This isn't just automation; it's a conversation. The agents can discuss why a campaign is failing and propose solutions, like cloning a better-performing funnel structure found via `get_funnel`. This MCP server gives them the tools they need to act.
Set up FunnelCockpit 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 FunnelCockpit 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="FunnelCockpit_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FunnelCockpit 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="FunnelCockpit_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FunnelCockpit 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 FunnelCockpit. 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 FunnelCockpit MCP in AutoGen
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