How to Use the FunnelCockpit MCP in CrewAI
Run autonomous multi-agent marketing crews to monitor and optimize your FunnelCockpit marketing pages.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FunnelCockpit MCP to CrewAI
Create your Vinkius account to connect FunnelCockpit to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Autonomous funnel auditing with CrewAI
Calling `list_funnels` allows your CrewAI researcher agent to pull all active paths while an analyst agent evaluates the structure. They work in tandem, sharing memory to spot gaps in your setup. The analyst agent then calls `list_pages` to verify that every step in the funnel has a corresponding live page. If a page is missing, a coordinator agent can flag the issue, ensuring your traffic never lands on a dead link or a broken opt-in page.
Cooperative lead management
Monitoring incoming signups with `list_contacts` lets your CrewAI agent hand off fresh lead data to an analyst agent. The second agent analyzes the lead profile using `get_contact` to check their engagement history. Once the analysis is complete, the coordinator agent uses `update_contact` to apply precise profiling tags. This multi-agent collaboration ensures your CRM is constantly updated with rich, actionable user data without you lifting a finger.
Continuous campaign verification
Running `check_funnelcockpit_status` at regular intervals lets your CrewAI monitor agent verify that your marketing stack is online. Broken APIs mean lost revenue and missed signups. If the status check fails, the monitor agent alerts your team. Meanwhile, a backup agent can check `list_campaigns` to confirm which active email sequences are affected, giving you a clear picture of the situation before your customers even notice.
Set up FunnelCockpit MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke FunnelCockpit tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="FunnelCockpit Analyst",
goal="Access and analyze FunnelCockpit data via MCP.",
backstory="Expert analyst with direct FunnelCockpit access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent FunnelCockpit transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="FunnelCockpit Analyst",
goal="Access and analyze FunnelCockpit data via MCP.",
backstory="Expert analyst with direct FunnelCockpit access.",
tools=mcp_tools,
)
task = Task(
description="List recent FunnelCockpit transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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