How to Use the Jitbit MCP in CrewAI

Deploy specialized agent crews to manage your Jitbit support operations.

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Connect Jitbit MCP to CrewAI

Create your Vinkius account to connect Jitbit 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.

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Setup Jitbit with CrewAI

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Role-based Jitbit agents in CrewAI

Assign one agent to research issues using `list_kb_articles` and another to log resolutions via `create_support_ticket`. The agents share memory, so the reporter knows what the researcher found. This setup mimics a real support team. You get specialized agents handling different parts of the ticket lifecycle.

Autonomous ticket monitoring with CrewAI

Let a monitor agent run `list_tickets` on a schedule. If it finds a critical issue, it flags it for the human-in-the-loop or triggers an automated response. It removes the need for someone to watch the queue. The agents watch the data and act when your conditions are met.

Hierarchical helpdesk coordination

Organize your agents into a hierarchy. A manager agent reviews the `get_ticket_details` output and delegates the actual resolution to a specialized worker agent. This keeps the workflow organized. You don't have to manage every step because the crew handles the delegation internally.

Setup guide

Set up Jitbit MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Jitbit tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Jitbit Analyst",
    goal="Access and analyze Jitbit data via MCP.",
    backstory="Expert analyst with direct Jitbit access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Jitbit transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Jitbit Analyst",
        goal="Access and analyze Jitbit data via MCP.",
        backstory="Expert analyst with direct Jitbit access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Jitbit transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jitbit. 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 Jitbit MCP in CrewAI

You can use a tool filter to limit which agents have access to which tools. This prevents your researcher agent from accidentally creating tickets.

Pass the server URL directly into your agent's MCP configuration list. The crew will automatically discover the tools and make them available to your agents.

The server uses token-based auth to restrict access. Your helpdesk credentials are not shared with the crew, only the ephemeral session token.

Yes, agents share memory. If one agent retrieves a KB article, the others can access that context when they need to resolve a ticket.

Run your crew in a local sandbox environment. You can observe the tool calls in the console to verify the agents are using the helpdesk tools correctly.

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