Procore MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Procore as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="procore_agent",
tools=tools,
system_message=(
"You help users with Procore. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Procore tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Procore MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Procore automatically
Why Use AutoGen with the Procore MCP Server
AutoGen provides unique advantages when paired with Procore through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Procore tools to solve complex tasks
Role-based architecture lets you assign Procore tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Procore tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Procore tool responses in an isolated environment
Procore + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Procore MCP Server delivers measurable value.
Collaborative analysis: one agent queries Procore while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Procore, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Procore data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Procore responses in a sandboxed execution environment
Procore MCP Tools for AutoGen (8)
These 8 tools become available when you connect Procore to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Procore to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Procore + AutoGen FAQ
Common questions about integrating Procore MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Procore with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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.
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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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
