CompanyCam MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CompanyCam through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="CompanyCam Assistant",
instructions=(
"You help users interact with CompanyCam. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CompanyCam"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About CompanyCam MCP Server
Connect your AI assistant to CompanyCam, the photo-first documentation platform built for contractors and field service teams.
The OpenAI Agents SDK auto-discovers all 10 tools from CompanyCam through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CompanyCam, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project Browsing — List and search projects by name, address, or status to find jobsite records quickly.
- Photo Management — Retrieve photos for any project, view timestamps and GPS coordinates, and check annotations.
- Team Overview — Check current user info, roles, and company account details.
The CompanyCam MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CompanyCam to OpenAI Agents SDK via MCP
Follow these steps to integrate the CompanyCam MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from CompanyCam
Why Use OpenAI Agents SDK with the CompanyCam MCP Server
OpenAI Agents SDK provides unique advantages when paired with CompanyCam through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CompanyCam + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CompanyCam MCP Server delivers measurable value.
Automated workflows: build agents that query CompanyCam, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CompanyCam, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CompanyCam tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CompanyCam to resolve tickets, look up records, and update statuses without human intervention
CompanyCam MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect CompanyCam to OpenAI Agents SDK via MCP:
create_project
Create a new project in CompanyCam
get_current_user
Retrieve details of the authenticated user
get_photo_details
Retrieve details of a specific photo
get_project
Retrieve detailed information about a specific project
list_all_photos
Retrieve a list of photos across all projects in the company
list_project_documents
Retrieve a list of documents attached to a project
list_project_photos
Retrieve all photos associated with a specific project
list_projects
Retrieve a list of projects from CompanyCam
list_users
Retrieve a list of all users in your company
search_projects
Quickly find a project by name
Example Prompts for CompanyCam in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CompanyCam immediately.
"Show me the first 20 projects in CompanyCam."
"List all photos for project 'proj-xxxx'."
"Create a new project at '456 Maple Drive'."
Troubleshooting CompanyCam MCP Server with OpenAI Agents SDK
Common issues when connecting CompanyCam to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CompanyCam + OpenAI Agents SDK FAQ
Common questions about integrating CompanyCam MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect CompanyCam with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CompanyCam to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.