How to Use the Giddyup MCP in CrewAI

Q: How do I install the Giddyup MCP Server in CrewAI?

Install crewaitools. Add your Vinkius endpoint URL directly to the mcps array in your Agent definition. The framework automatically discovers all available endpoints.

Q: Can I restrict which Giddyup tools my CrewAI agents use?

Yes. Import MCPServerHTTP from crewai.mcp and use the toolfilter parameter. You can give one agent access to listinvoices while restricting another strictly to listjobs.

Q: How do CrewAI agents coordinate Giddyup job updates?

Agents share memory. The dispatcher pulls records via getjob and writes the details to the crew's context. The routing agent reads that context and decides when to fire updates.

Q: What happens to customer leads read by the agents?

The tools access sensitive contact info via getlead. Vinkius processes these requests in a secure, ephemeral V8 sandbox. Once the API call finishes, the sandbox is destroyed, leaving zero trace.

Deploy autonomous dispatch teams. Connect Giddyup to CrewAI and let specialized agents run your field operations.

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Connect Giddyup MCP to CrewAI

Create your Vinkius account to connect Giddyup 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 Giddyup with CrewAI

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Perplexity

Autonomous field service management

You do not need a single agent trying to do everything. CrewAI lets you build a specialized dispatcher agent that constantly polls `list_jobs` for new emergency tickets. It hands the data to a routing agent. The routing agent pulls technician locations using `list_users`. It calculates the optimal path, then tells the dispatcher to execute `update_job`. They work together in the background without human intervention.

Turn leads into scheduled work

Set up a sales agent that monitors your CRM. It checks `list_leads` every morning. When it finds a hot prospect, it pulls the full history with `get_lead` and writes a summary. A manager agent reviews the summary. If the project looks profitable, it approves the transition and calls `create_job` to put it on the schedule. This MCP Server gives your crew direct access to your operational database.

CrewAI agents as system monitors

You can assign a dedicated watchdog agent to keep an eye on your infrastructure. It runs `check_giddyup_status` at regular intervals to ensure the mobile API is responding. Meanwhile, an accounting agent scans `list_invoices` for unpaid balances. If a customer has an overdue bill, the agent can block the dispatcher from scheduling new work for them.

Setup guide

Set up Giddyup 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 Giddyup tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Giddyup 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="Giddyup Analyst",
        goal="Access and analyze Giddyup data via MCP.",
        backstory="Expert analyst with direct Giddyup access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Giddyup 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 Giddyup. 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 Giddyup MCP in CrewAI

Install `crewai[tools]`. Add your Vinkius endpoint URL directly to the `mcps` array in your Agent definition. The framework automatically discovers all available endpoints.

Yes. Import `MCPServerHTTP` from `crewai.mcp` and use the `tool_filter` parameter. You can give one agent access to `list_invoices` while restricting another strictly to `list_jobs`.

Agents share memory. The dispatcher pulls records via `get_job` and writes the details to the crew's context. The routing agent reads that context and decides when to fire updates.

It does. You can appoint a manager agent that delegates research tasks to subordinates. The manager reviews the collected customer data before authorizing any write operations.

The tools access sensitive contact info via `get_lead`. Vinkius processes these requests in a secure, ephemeral V8 sandbox. Once the API call finishes, the sandbox is destroyed, leaving zero trace.

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