Schema | cadlens-mcp

cadlens-mcp

Official

Describes the environment variables required to run the server.

Name	Required	Description	Default
`WEBHOOK_PORT`	No	Port for the in-process webhook receiver.	0
`CADLENS_API_KEY`	Yes	API key created in the Cadlens dashboard.
`CADLENS_API_BASE`	No	Base URL for the Cadlens API. Set to http://localhost:3001/v1 for local dev.	https://api.cadlens.co/v1
`REQUEST_TIMEOUT_MS`	No	Per-HTTP-request timeout for Cadlens calls in milliseconds.	30000
`WEBHOOK_PUBLIC_URL`	No	Tunnel URL (ngrok/cloudflared) to let Cadlens hit the local receiver.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
cadlens_parse_fileA	Parse a local CAD file (DWG/DXF/DWF/DWFx/DGN-V7/PDF, max 100 MB). Polls until the job completes or 5 minutes elapse. Returns a summary including the preview image URL. Use cadlens_get_result with the returned job_id to fetch detailed entity data.
cadlens_parse_urlA	Download a CAD file from a URL (max 100 MB) and parse it. Same output as cadlens_parse_file.
cadlens_get_jobA	Check the status of a CAD parse job. Returns PENDING, PROCESSING, COMPLETED, or FAILED.
cadlens_get_resultA	Fetch the parsed result of a completed CAD job. Use mode='summary' (default) for an overview, 'entities_by_type' or 'entities_on_layer' for filtered detail, or 'full' for the complete vector JSON (can be very large — only use when explicitly needed).
cadlens_refresh_image_urlA	Re-fetch the presigned preview-image URL for a completed job. Cheaper than re-fetching the full result. The URL is valid for 3600 seconds.
cadlens_list_jobsA	List the 100 most recent CAD parse jobs for the configured API key, newest first.
cadlens_delete_jobA	Delete a job and its uploaded file and preview image from CADLens storage. Irreversible.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cadlens-co/cadlens-mcp'

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