CompanyCam MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CompanyCam through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to CompanyCam "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in CompanyCam?"
)
print(result.data)
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.
Pydantic AI validates every CompanyCam tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the CompanyCam MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from CompanyCam with type-safe schemas
Why Use Pydantic AI with the CompanyCam MCP Server
Pydantic AI provides unique advantages when paired with CompanyCam through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CompanyCam integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CompanyCam connection logic from agent behavior for testable, maintainable code
CompanyCam + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CompanyCam MCP Server delivers measurable value.
Type-safe data pipelines: query CompanyCam with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CompanyCam tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CompanyCam and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CompanyCam responses and write comprehensive agent tests
CompanyCam MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect CompanyCam to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting CompanyCam to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCompanyCam + Pydantic AI FAQ
Common questions about integrating CompanyCam MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.