Advertise
MCP.so
Sign In

Procore MCP Server

@mohllal

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

mohllal

About Procore MCP Server

MCP server for Procore APIs

#mcp-server

Procore MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "procore-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Procore MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Procore MCP Server?

The Procore MCP Server is a Model Context Protocol (MCP) server that connects LLMs to Procore APIs, enabling AI assistants to query and retrieve data from a Procore account. It is designed for developers and construction professionals who want to use natural language to interact with Procore projects, companies, and submittals.

How to use Procore MCP Server?

Install the server with uv sync, then create a .env file with your Procore API credentials (client ID, client secret, and redirect URI). Run python init_token.py to complete OAuth authentication and save a token to procore_token.json. Configure the server in Claude or VSCode by adding a JSON block that invokes uv run procore-mcp-server with the correct directory path.

Key features of Procore MCP Server

  • Supports setting company and project context via procore_set_context
  • Lists all accessible companies with procore_list_companies
  • Retrieves company and project details
  • Lists projects for a given company
  • Lists submittals with optional filters
  • Provides three prompts for generating summaries

Use cases of Procore MCP Server

  • Quickly view project details without navigating the Procore web interface
  • Summarize company information from an LLM‑powered chat interface
  • List and filter submittals across projects for status updates
  • Integrate Procore data into a custom AI assistant or IDE

Frequently asked questions

1

What prerequisites are needed to run the Procore MCP Server?

Python 3.13 or later, a Procore account with API access, and API credentials (client ID and client secret) are required.

2

How does authentication work?

The server uses OAuth 2.0. Run `python init_token.py` to open an authorization URL, log in to Procore, paste the provided authorization code, and the script saves the token to `procore_token.json`. Use `urn:ietf:wg:oauth:2.0:oob` as the redirect URI for redirectless OAuth.

3

What transport does the Procore MCP Server use?

The server uses the stdio transport. Both Claude and VSCode integrations are configured with `"type": "stdio"` and `"command": "uv"` with the appropriate arguments.

4

Where is authentication data stored?

The OAuth token is saved locally in a file named `procore_token.json` in the server’s root directory. The server automatically reads this file for API requests.

5

What tools does the Procore MCP Server expose?

It provides six tools: `procore_set_context`, `procore_list_companies`, `procore_get_company_details`, `procore_list_projects_for_company`, `procore_get_project_details`, and `procore_list_submittals`.

Comments

More Other MCP servers

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Glasswarp

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Advertise