File Transfer (remote servers)
SkillFiles & storageMove user files to or from a remote openstudio-mcp server, upload local models/measures/weather for server-side tools, or hand results back as download links. Use when a needed file is on the user's machine, or the user wants a file from the server.
Use File Transfer (remote servers) in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add File Transfer (remote servers) and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the File Transfer (remote servers) skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by natlabrockies/openstudio-mcp in .claude/skills/file-transfer/SKILL.md and read by Ahel’s review.
Over HTTP the server runs on a different machine than the user. Every file
tool (load_osm_model, apply_measure, change_building_location,
import_floorspacejs) takes a server-side path, but the user's files are
on their laptop. Never pass file bytes through tool arguments (base64 in-band
is token-prohibitive and leaks bytes into context/logs) — move bytes
out-of-band over signed HTTP routes on the same port.
Upload (get a local file onto the server)
- Check first:
list_files()/list_uploads()— staged inputs (e.g. under/inputs) are already server-visible and need no upload. request_upload(filename="model.osm", size_bytes=<bytes>)→{file_id, upload_url, ...}(optionalsha256for integrity,kind="measure"for measure zips)- Have the user PUT the raw bytes:
curl --upload-file model.osm "<upload_url>" get_upload(file_id=<file_id>)→server_pathonce ready (extracted_pathfor a.zip— ready forapply_measure(measure_dir=...))- Pass that server path to
load_osm_model/change_building_location/ etc.
Download (hand a server file back to the user)
request_download(path=<server_path>) or
request_download(run_id=<run_id>, bundle=True) → download_url; the user
fetches it:
curl -O -J "<download_url>"
For small text (logs, err files) prefer read_file / get_run_logs — no
download needed.
Notes
- Upload URLs are signed (HMAC, short TTL) and op/file-scoped; the bearer token never enters a URL. Uploads land in your private per-user area and count against a quota; archives are zip-bomb and path-escape guarded.
delete_upload(file_id=...)frees quota.- Shell-less clients:
python -m mcp_server.tools.osmcp put <file> --kind measureandpython -m mcp_server.tools.osmcp get <server_path>wrap the same two HTTP calls.
Signals
- GitHub stars
- 45
- Forks
- 10
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
file-transfer-natlabrockies- Source
- github.com/natlabrockies/openstudio-mcp
github.com/natlabrockies/openstudio-mcp