How to Use the FieldAware MCP in CrewAI

Q: Does CrewAI support selective FieldAware tools?

Use the toolfilter option to limit which agents see which tools. This prevents agents from running sensitive commands like createjob unnecessarily.

Deploy a specialized agent crew to manage FieldAware operations autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FieldAware MCP to CrewAI

Create your Vinkius account to connect FieldAware 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.

GDPR Free for Subscribers

Setup FieldAware with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous job monitoring

Assign a monitor agent to poll `list_jobs` on a schedule. It watches for unassigned work and flags it for the rest of the crew. When a job appears, the agent uses `get_job` to assess priority. It then decides whether to escalate the ticket based on your specific business rules.

Multi-agent repair workflow

Let one agent research parts using `list_items` while another prepares the invoice with `get_invoice`. They share memory to ensure the job details match. This division of labor prevents errors. Agents hand off data to each other, ensuring the final record is accurate before the technician leaves.

Customer service automation

Task an agent with checking `list_customers` when a support request arrives. It identifies the client and retrieves their history with `get_customer`. The agent uses this context to draft a response. It avoids asking the customer for information already stored in your account system.

Setup guide

Set up FieldAware 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 FieldAware tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent FieldAware 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 FieldAware. 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.

Connect FieldAware now

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 FieldAware MCP in CrewAI

Pass the server URL into the agent's MCP list. This gives your crew immediate access to all 12 tools for their assigned tasks.

Yes, agents use shared memory to pass context between tasks. If one agent finds a customer, the others can use that data for their own steps.

Use the tool_filter option to limit which agents see which tools. This prevents agents from running sensitive commands like `create_job` unnecessarily.

You can configure your crew's execution speed. Ensure your agents are not firing requests to the API simultaneously to avoid hitting your limits.

The server connection is isolated for each session. Your asset lists are only handled by the agents you specifically authorize to view them.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python