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Model Context Protocol server that wraps the CADLens REST API.
About
Model Context Protocol server that wraps the CADLens REST API.
Security Report
This MCP server is well-structured and implements proper authentication via API key. The codebase shows careful input validation, appropriate use of FormData for file uploads, and good error handling. Permissions align with the server's stated purpose of parsing CAD files via the Cadlens API. Minor code quality issues exist but do not indicate security vulnerabilities. Supply chain analysis found 9 known vulnerabilities in dependencies (2 critical, 2 high severity). Package verification found 1 issue.
7 files analyzed · 14 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: CADLENS_API_KEY
Environment variable: CADLENS_API_BASE
Environment variable: WEBHOOK_PUBLIC_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cadlens-co-cadlens-mcp": {
"env": {
"CADLENS_API_KEY": "your-cadlens-api-key-here",
"CADLENS_API_BASE": "your-cadlens-api-base-here",
"WEBHOOK_PUBLIC_URL": "your-webhook-public-url-here"
},
"args": [
"-y",
"@cadlens/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
cadlens-mcp
A Model Context Protocol server that wraps the Cadlens CAD parsing API so MCP-aware LLM clients (Claude Desktop, Claude Code, Cursor, Zed, Windsurf) can parse CAD files (.dwg, .dxf, .dwf, .dwfx, .dgn V7, .pdf, max 100 MB) and reason over the extracted entity, layer, and metadata payloads.
Cadlens converts CAD drawings into structured JSON without requiring AutoCAD or any desktop software — learn more at cadlens.co.
Install
Get an API key from the Cadlens dashboard first — keys start with cadl_ and are created in the dashboard for free.
Claude Desktop / Cursor / Windsurf
Add to your MCP client config (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"cadlens": {
"command": "npx",
"args": ["-y", "@cadlens/mcp-server"],
"env": {
"CADLENS_API_KEY": "cadl_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
}
}
}
}
Claude Code CLI
claude mcp add cadlens \
--env CADLENS_API_KEY=cadl_xxx \
-- npx -y @cadlens/mcp-server
Development (build from source)
npm install
npm run build
export CADLENS_API_KEY="cadl_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
node dist/index.js
Tools
| Tool | What it does |
|---|---|
cadlens_parse_file | Upload a local CAD file, poll until parsed (5 min budget), return summary. |
cadlens_parse_url | Download a CAD file from a URL, then parse it like parse_file. |
cadlens_get_job | Cheap status check (PENDING / PROCESSING / COMPLETED / FAILED). |
cadlens_get_result | Fetch parsed content. mode: summary (default), entities_by_type, entities_on_layer, full. |
cadlens_refresh_image_url | Re-fetch the 1h presigned PNG URL without re-downloading the full result. |
cadlens_list_jobs | The 100 most recent jobs for the configured API key. |
cadlens_delete_job | Delete a job and its S3 artifacts. Irreversible. |
Configuration
| Env var | Required | Default | Notes |
|---|---|---|---|
CADLENS_API_KEY | yes | — | Created in the CADLens dashboard. |
CADLENS_API_BASE | no | https://api.cadlens.co/v1 | Set to http://localhost:3001/v1 for local dev. |
WEBHOOK_PORT | no | 0 (random) | Port for the in-process webhook receiver. |
WEBHOOK_PUBLIC_URL | no | unset | Set to a tunnel URL (ngrok/cloudflared) to let CADLens hit the local receiver. When set, parse calls auto-register the webhook and the poller short-circuits on receipt. |
REQUEST_TIMEOUT_MS | no | 30000 | Per-HTTP-request timeout for CADLens calls. |
Webhook short-circuit (optional)
If WEBHOOK_PUBLIC_URL is set, parse_file / parse_url register a per-process webhook URL alongside the upload. The webhook handler updates an in-memory job-state cache; the poller checks that cache before each HTTP GET and returns early when COMPLETED / FAILED arrives. This trims worst-case latency by up to one full poll tick (~1 s) without changing the tool surface.
Example tunnel setup:
cloudflared tunnel --url http://localhost:8787 &
export WEBHOOK_PORT=8787
export WEBHOOK_PUBLIC_URL="https://<your-tunnel>.trycloudflare.com"
Development
npm run typecheck
npm run lint
npm test
npm run smoke # tools/list smoke test against built binary
Project-scoped Claude agents
This repo ships five agents under .claude/agents/:
cadlens-api-debugger— diagnoses unexplained CADLens 4xx/5xx usingmcp-server-reference.md.mcp-tool-tester— drives JSON-RPC against the built server to validate tool responses.mcp-tool-implementer— scaffolds new tools following the existingsrc/tools/*pattern.cad-drawing-summarizer— uses the MCP tools to summarize a CAD file in natural language.cad-layer-inspector— drills into a single layer of a parsed drawing.
Links
- Cadlens official website
- Cadlens API documentation
- Cadlens pricing
- DWG parser for AI agents
- npm package
- GitHub repository
GitHub Topics
Add these topics to this repo for discovery:
mcp mcp-server model-context-protocol ai-agents claude cad dwg dxf cad-api llm-tools engineering-api
License
MIT
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