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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up CompanyCam MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke CompanyCam tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="CompanyCam Analyst",
goal="Access and analyze CompanyCam data via MCP.",
backstory="Expert analyst with direct CompanyCam access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CompanyCam. 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.
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.
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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
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