Procore MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Procore through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"procore": {
"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 Procore, 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 Procore MCP Server
Connect your Procore construction management platform to any AI agent and oversee projects, quality, and field operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Procore through native MCP adapters. Connect 8 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
- 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 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 Procore to LangChain via MCP
Follow these steps to integrate the Procore 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 8 tools from Procore via MCP
Why Use LangChain with the Procore MCP Server
LangChain provides unique advantages when paired with Procore through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Procore 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 Procore queries for multi-turn workflows
Procore + LangChain Use Cases
Practical scenarios where LangChain combined with the Procore MCP Server delivers measurable value.
RAG with live data: combine Procore tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Procore, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Procore tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Procore tool call, measure latency, and optimize your agent's performance
Procore MCP Tools for LangChain (8)
These 8 tools become available when you connect Procore to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Procore to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersProcore + LangChain FAQ
Common questions about integrating Procore 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 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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.