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Local IFC/BIM MCP server with IfcOpenShell Python in Pyodide and an IFC viewer.
Local IFC/BIM MCP server with IfcOpenShell Python in Pyodide and an IFC viewer.
IFC MCP is a well-structured developer tool for local IFC/BIM file processing with proper security considerations. The server operates entirely on the user's machine, uses secure file handling practices, and maintains appropriate permission boundaries. No authentication is required (by design for local operation), and no malicious patterns were detected. Minor code quality observations exist but do not constitute security vulnerabilities. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.
5 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-flinker-app-ifc-mcp": {
"args": [
"-y",
"ifc-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
IFC MCP lets your AI assistant inspect IFC/BIM files, create IFC files, create reports, open IFC models in a viewer, and apply BCF viewpoints.
After installation, ask your AI client in normal language. The AI client starts IFC MCP when it needs the IFC tools and sends your request to the local server. IFC MCP reads IFC files locally, runs the needed IFC logic in a local Pyodide runtime with IfcOpenShell, and returns the answer to the chat.
Good example prompts:
Open examples/sample.ifc and summarize the model.Count the walls, doors, windows, spaces, and property sets in examples/sample.ifc.Find missing names, classifications, and suspicious property values in this IFC file.Create a CSV room-area report from this IFC file.Create a simple IFC file with one building, one storey, and four walls.Open the IFC viewer and show examples/sample.ifc.Apply C:\path\to\viewpoint.bcfzip in the open IFC viewer.Clear the IFC viewer.If IFC MCP creates a report, BCF file, or new IFC file, it returns a local download link. If you ask to view a model, IFC MCP opens a local viewer link. If your AI client does not open that link automatically, open it in your browser.
Install Node.js 18.20 or newer from the official Node.js download page. Choose the LTS version for your operating system, run the installer, then reopen the app where you want to use IFC MCP.
IFC MCP uses npx, which is included with Node.js. If your app later says
node or npx is not found, reinstall Node.js LTS and reopen the app.
Option 1: Use the Claude Desktop UI
Settings.Developer or Desktop app developer settings.Edit Config if that button is available. This opens the Claude
Desktop MCP config file.{
"mcpServers": {
"ifc-mcp": {
"command": "npx",
"args": ["-y", "ifc-mcp"]
}
}
}
If the file already contains JSON, add only the ifc-mcp entry inside the
existing mcpServers object. Do not create a second mcpServers object.
Option 2: Open the config file directly
Use this only if you do not see Edit Config in Claude Desktop:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.jsonPaste the same JSON from Option 1, save the file, then fully quit and reopen Claude Desktop.
Check
To check the setup, open Claude Desktop, start a new chat, click the + button
near the chat box, and look for Connectors. IFC MCP should appear there after
Claude Desktop has restarted. You should see the tools listed in the
How It Works section above.
For more detail, see Claude's local MCP server guide.
Option 1: Use the install button
This opens VS Code and adds IFC MCP.
If VS Code asks whether you trust the server, accept it. Reload VS Code if the tools do not appear. Open Chat and use the tools/configure-tools button to see the IFC MCP tools.
Option 2: Add .vscode/mcp.json manually
{
"servers": {
"IFC MCP": {
"type": "stdio",
"command": "npx",
"args": ["-y", "ifc-mcp"]
}
}
}
Reload VS Code after saving the file.
Open Chat and use the tools/configure-tools button to see the IFC MCP tools.
For more detail, see the VS Code MCP server docs.
Option 1: Use the Codex settings UI
MCP servers.Add server.ifc-mcpnpx-y ifc-mcpOption 2: Use the terminal command
Terminal -> New Terminal in VS Code.codex mcp add ifc-mcp -- npx -y ifc-mcp
For more detail, see the Codex MCP docs.
Option 1: Use a project JSON file
.mcp.json in the project root.{
"mcpServers": {
"ifc-mcp": {
"command": "npx",
"args": ["-y", "ifc-mcp"]
}
}
}
/mcp and approve the project server if Claude asks.ifc-mcp is connected.Option 2: Use the terminal command for all projects
claude mcp add --transport stdio ifc-mcp --scope user -- npx -y ifc-mcp
Then reopen Claude Code in VS Code, type /mcp, and check that ifc-mcp is
connected.
If the claude command is not found, install Claude Code first.
For more detail, see the Claude Code VS Code docs and Claude Code MCP docs.
Add this server entry to your MCP client config:
{
"mcpServers": {
"ifc-mcp": {
"command": "npx",
"args": ["-y", "ifc-mcp"]
}
}
}
Restart the MCP client after saving the config.
For more detail, see the Model Context Protocol docs.
If your app already has an IFC viewer, you can reuse IFC MCP's normal tool
interface and apply viewer actions in your app instead of opening the default
local viewer. The MCP client still calls tools like show-ifc-file and
set-bcf-view; your app only defines what those viewer tools do.
import { createServer } from "ifc-mcp";
const server = createServer({
viewer: {
"show-ifc-file": async ({ file_path }) => {
return loadIfcIntoThisViewer(file_path);
},
"set-bcf-view": async ({ bcf_path }) => {
return applyBcfToThisViewer(bcf_path);
},
"clear-ifc-viewer": async () => {
return clearThisViewer();
},
},
});
The callback names and argument names match the MCP tool names and schemas, so there is no second naming system to learn.
For local development from this checkout:
npm install
npm test
The workspace includes .vscode/mcp.json, so VS Code can run the server from
this checkout.
IFC MCP keeps the IFC work on your own machine. It reads your IFC files locally, runs the IFC analysis locally, and opens a local viewer. It does not publish the viewer to the public internet.
Generated reports, BCF files, and IFC files are temporary local download links. IFC MCP does not write generated output files into your project folder by default.
Use IFC MCP only with IFC/BIM files and project folders you trust. It can read the files you ask it to use, and incorrect or misleading model data can lead to wrong reports or generated IFC files.
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