How to Use the Jebbit MCP in CrewAI
Deploy specialized agent teams that analyze interactive campaigns using CrewAI and this Jebbit MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jebbit MCP to CrewAI
Create your Vinkius account to connect Jebbit 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.
Run collaborative campaign audits via CrewAI
Set up a CrewAI team where one agent pulls active Jebbit campaigns and another analyzes their performance. Your research agent runs `list_campaigns` to track incoming traffic, while your analyst agent uses `list_experiences` to see which quizzes are active. This multi-agent setup lets you verify that every running campaign points to a published Jebbit experience. If there is a mismatch, the coordinator agent flags the error and suggests a fix.
Build zero-party data ingestion crews with this MCP Server
Automate how you process Jebbit consumer insights across your CrewAI marketing team. An agent uses `list_attributes` to find newly captured consumer preferences, passing those details to a writer agent that drafts personalized email sequences. Our integration connects your crew directly to your live data. The CrewAI team works in the background, continuously matching captured attributes with active Jebbit segments to keep your CRM updated.
Automate large-scale report auditing
Manage massive Jebbit data pulls without tying up your engineering team using CrewAI. Your lead agent can trigger reports and use `list_reporting_jobs` to monitor progress across multiple accounts. Once the job is ready, a secondary CrewAI agent takes over to parse the results and update your marketing dashboard. The entire process runs sequentially, ensuring no steps are missed.
Set up Jebbit 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 Jebbit tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Jebbit Analyst",
goal="Access and analyze Jebbit data via MCP.",
backstory="Expert analyst with direct Jebbit access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Jebbit 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="Jebbit Analyst",
goal="Access and analyze Jebbit data via MCP.",
backstory="Expert analyst with direct Jebbit access.",
tools=mcp_tools,
)
task = Task(
description="List recent Jebbit 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 Jebbit. 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 Jebbit MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Jebbit MCP today
We host it, we monitor it, we maintain it. You just paste one token.