Procore MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Procore 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="Procore Assistant",
instructions=(
"You help users interact with Procore. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Procore"
)
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 Procore MCP Server
Connect your Procore construction management platform to any AI agent and oversee projects, quality, and field operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Procore through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Procore, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Projects Overview — List all active construction projects with status, addresses, timelines, and budget summaries
- RFIs & Submittals — Track Requests for Information and material approvals with assignees, due dates, and response histories
- Field Observations — Review safety and quality observations from the jobsite including priority, photos, and corrective actions
- Punch Lists — Monitor deficiencies to resolve before closeout with locations, assignees, and deadlines
- Daily Logs — Access daily logs with weather, workforce counts, equipment usage, and delay notes
- Drawings — Browse blueprints, elevations, and shop drawings with revision tracking
The Procore MCP Server exposes 8 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 Procore to OpenAI Agents SDK via MCP
Follow these steps to integrate the Procore 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 8 tools from Procore
Why Use OpenAI Agents SDK with the Procore MCP Server
OpenAI Agents SDK provides unique advantages when paired with Procore 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
Procore + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Procore MCP Server delivers measurable value.
Automated workflows: build agents that query Procore, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Procore, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Procore tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Procore to resolve tickets, look up records, and update statuses without human intervention
Procore MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Procore to OpenAI Agents SDK via MCP:
get_project
Includes budget, schedule, team, and project settings. Get project details
list_daily_logs
Includes weather, workforce count, equipment, notes, and delays. List daily construction logs
list_drawings
Includes discipline, set, revision, and approval status. List project drawings
list_observations
Includes type, priority, assignee, photos, and status. List field observations
list_projects
List all construction projects
list_punch_items
Includes description, location, assignee, due date, and status. List punch list items
list_rfis
Includes subject, status, assignee, due date, and response history. List RFIs for a project
list_submittals
Includes title, spec section, status, and approver. List submittals
Example Prompts for Procore in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Procore immediately.
"Show me all my active construction projects."
"List all overdue RFIs on the Skyline Tower project."
"How many open punch items on Harbor View?"
Troubleshooting Procore MCP Server with OpenAI Agents SDK
Common issues when connecting Procore to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Procore + OpenAI Agents SDK FAQ
Common questions about integrating Procore 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 Procore 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 Procore to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.