How to Use the CompanyCam MCP in LangChain

Q: Can LangChain handle multiple CompanyCam projects at once?

Yes. You can loop through listprojects to generate tasks for every active site in your account.

Build complex jobsite workflows by chaining CompanyCam tools directly into your LangChain agents.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect CompanyCam MCP to LangChain

Create your Vinkius account to connect CompanyCam to LangChain 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 CompanyCam with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain project updates into LangChain

Trigger `create_project` to automatically spin up a new site folder the moment a contract hits your inbox. Your LangChain agent handles the setup without you leaving your editor. Everything happens in one sequence. The output from your project creation feeds directly into your next task, keeping your pipeline moving.

Query jobsite assets with LangChain

Feed `list_project_photos` or `list_project_documents` into your chain to build a context-aware report. Your agent grabs the exact files needed for a specific site visit. This MCP Server provides the raw data points. Your LangChain logic interprets those files to summarize project progress automatically.

Sync user data across LangChain tasks

Use `list_users` to verify who is on-site before executing further actions. Your agent checks the roster to ensure the right person gets notified. This creates a reliable feedback loop. You define the chain, and the agent uses these verified identities to route documentation to the correct team members.

Setup guide

Set up CompanyCam MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes CompanyCam tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "companycam-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent CompanyCam transactions"
    })
    print(result["messages"][-1].content)

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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.

Connect CompanyCam 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 CompanyCam MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then pass the tool list directly into your agent constructor to start executing.

Yes. You can loop through `list_projects` to generate tasks for every active site in your account.

Since you are using LangChain, every tool call is logged. You get full visibility into inputs and outputs for every API interaction.

Vinkius manages the handshake. You just provide the endpoint token, and the connection stays secure throughout your session.

Your project photos never hit public servers. The connection relies on ephemeral tokens that expire, ensuring your site documentation stays within your control.

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