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How to Use the CompanyCam MCP in CrewAI

Deploy a crew of specialized AI agents to manage your CompanyCam projects and jobsite photos autonomously using CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect CompanyCam MCP to CrewAI

Create your Vinkius account to connect CompanyCam 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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Coordinate Field Teams with CrewAI

The `list_projects` tool gives your coordinator agent a bird's-eye view of all active construction jobs. In a CrewAI setup, this agent identifies active sites and delegates detailed photo audits to a specialized inspector agent. The inspector agent then calls `list_project_photos` to pull recent uploads for analysis. Because CrewAI agents share memory, the inspector knows exactly which project boundaries to check without re-querying the database.

Audit Jobsite Files via MCP Server

The `list_project_documents` tool allows a dedicated compliance agent to scan for missing permits. While one agent checks the project status using `get_project`, another reviews the attached files to verify safety compliance. If a critical document is missing, the compliance agent can alert the team. It uses `list_users` to find the correct supervisor on record and flags the account for immediate follow-up.

Autonomous Project Setup

The `create_project` tool is used by your operations agent to set up new jobsites when triggered by external events. The agent connects via the MCP Server to coordinate with a search specialist using `search_projects` to ensure the address isn't already active in your system. This cooperative workflow prevents duplicate billing and messy files. Once the project is live, the agent pulls the details with `get_current_user` to log the creator's credentials for internal tracking.

Setup guide

Set up CompanyCam MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke CompanyCam tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

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 CompanyCam MCP in CrewAI

You pass the Vinkius MCP Server URL directly into the `mcps` array of your Agent definition. To restrict access, use `MCPServerHTTP` from the crewai.mcp package to filter which tools each agent can use.
Yes, an agent can call `get_photo_details` or `list_project_photos` to retrieve photo metadata and URLs. You can then pass these URLs to a vision-enabled agent in your crew for safety or progress analysis.
Agents share context and memory. For example, a search agent can find a file using `search_projects` and pass the ID directly to a document agent, which then runs `list_project_documents` to verify compliance.
Yes, CrewAI supports hierarchical execution where a manager agent directs other workers. The crew can run on a schedule, checking `list_projects` daily and flagging anomalies without human intervention.
Your construction photos, user lists, and project details are accessed via secure, single-endpoint tokens. Vinkius hosts the MCP Server in an isolated, zero-trust sandbox, ensuring your operational data is never cached or exposed.

Start using the CompanyCam MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for CompanyCam. Just plug in your AI agents and start using Vinkius.

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