CompanyCam MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CompanyCam through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"companycam": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using CompanyCam, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with CompanyCam through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the CompanyCam MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from CompanyCam via MCP
Why Use LangChain with the CompanyCam MCP Server
LangChain provides unique advantages when paired with CompanyCam through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CompanyCam MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across CompanyCam queries for multi-turn workflows
CompanyCam + LangChain Use Cases
Practical scenarios where LangChain combined with the CompanyCam MCP Server delivers measurable value.
RAG with live data: combine CompanyCam tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CompanyCam, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CompanyCam tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CompanyCam tool call, measure latency, and optimize your agent's performance
CompanyCam MCP Tools for LangChain (10)
These 10 tools become available when you connect CompanyCam to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting CompanyCam to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCompanyCam + LangChain FAQ
Common questions about integrating CompanyCam MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.