How to Use the Fieldly MCP in CrewAI

Deploy a specialized crew of autonomous agents to manage your Fieldly construction operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Fieldly MCP to CrewAI

Create your Vinkius account to connect Fieldly 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 Fieldly with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Role-based Fieldly management

Assign one agent to monitor `list_bookings` while another handles `create_work_item` requests. This specialization allows your crew to manage construction schedules without human intervention. Each agent uses its assigned tools to focus on its specific domain. You get a coordinated effort where the research agent feeds information to the action agent, resulting in faster project updates.

Autonomous scheduling with Fieldly

Let your crew identify gaps in your schedule by scanning `list_work_items` and `list_bookings` continuously. If the crew finds a conflict, it automatically adjusts the timeline to keep your crew on site. You avoid the back-and-forth of manual scheduling. The agents handle the negotiation and booking updates, ensuring your project stays on schedule.

Cross-agent Fieldly data sharing

Share memory between agents so your invoice agent knows exactly what the booking agent just finished. This context allows your CrewAI crew to answer complex questions about project status using `get_work_item` data. The agents build a complete picture of the construction site. You get accurate, synthesized reports without having to query individual tools yourself.

Setup guide

Set up Fieldly 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 Fieldly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to the agent's MCP configuration. You can filter which tools the agent sees to ensure it only performs authorized actions.

Yes, CrewAI agents share memory within a task. This allows one agent to use data retrieved by another to complete its own work.

Your construction data is isolated within the agent's session. We do not store your credentials, and all data exchange happens over encrypted channels.

Use the tool filtering feature in your MCP setup. You can limit the agent to read-only tools to prevent accidental changes to your project records.

Yes, you can task an agent with monitoring invoices. It will watch for changes and notify your team when a new invoice is ready for review.

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