How to Use the CompanyCam MCP in AutoGen

Let your AutoGen agents debate project status using real-time data from this MCP Server.

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Connect CompanyCam MCP to AutoGen

Create your Vinkius account to connect CompanyCam to AutoGen 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 AutoGen

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Perplexity

Debate project status in AutoGen

Have one agent call `get_project` while another reviews the current user via `get_current_user`. They compare notes to verify site progress. This creates a consensus-driven workflow. The agents talk through the data, ensuring no detail is missed before they propose a next step.

Verify site photos with AutoGen

Assign a security agent to check `get_photo_details` for compliance. It debates findings with a project manager agent until they agree on the status. This prevents errors. By having agents challenge each other, you get a higher quality of decision-making on every jobsite photo.

Manage users via AutoGen agents

Use `list_users` to let your agents decide who is best suited for a task. They negotiate assignments based on the current staff list. This automates your resource allocation. Your agents look at the data, discuss the requirements, and delegate work without your input.

Setup guide

Set up CompanyCam MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes CompanyCam tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="CompanyCam_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CompanyCam data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="CompanyCam_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CompanyCam data")
    print(result.messages[-1].content)

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 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

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Common questions about CompanyCam MCP in AutoGen

Yes. You pass the tool adapter to your agents, and they can invoke them during their conversation as needed.

The framework treats tool output as conversational input. One agent fetches the data, and the others use it to form their arguments.

It does. You can use the streamable HTTP transport to keep your agent debate moving in real-time.

The conversation history tracks every tool call made by your agents. You can review the entire debate to see why a decision was reached.

The server uses a zero-trust architecture. Your user list and access tokens are never exposed to the wider network during agent deliberations.

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

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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