dropbox

Dropbox

Tools for working with files and folders in Dropbox — upload and write files, organize (move/copy/delete/create folders), navigate and search, read file contents, create and modify shared links, manage shared-folder membership, and create file requests. Wraps the Dropbox API v2 (https://api.dropboxapi.com/2/<namespace>/<method>, with uploads/downloads on https://content.dropboxapi.com). Read-only tools are clearly marked; write tools return clean file/folder metadata rather than silently attaching links or contents.

Independent, unofficial connector for Dropbox. Not affiliated with, endorsed by, or sponsored by Dropbox. "Dropbox" is a trademark of its owner, used only to identify the service this connector works with.

When to use this

• An agent needs to save, move, copy, rename, or delete files and folders in Dropbox.
• An agent needs to find a file or folder (by name or content) or list a folder's contents before acting on it.
• An agent needs to read a text file's contents inline, or hand off a file's bytes via a temporary or durable link.
• An agent needs to share a file/folder, change link settings, or manage who can access a shared folder.

Setup

This is an agentskills.io skill.

If the connector has not been installed as a skill yet, install it first with npx skills add zapier/connectors --skill dropbox (or your harness's own skill-install mechanism), then continue here. Installing the skill copies these files, not dependencies. Before running the CLI, a local MCP server, or zapier-sdk auth commands, run npm install --omit=dev here once. Importing the published package as a dependency in your own project instead? That npm install already resolves everything — see references/use-as-sdk.md.

Want the actual repo source instead — to browse references/, run this connector's tests, or hack on it? See README.md for a scoped git clone.

The connector runs on Node.js 22.18+. Pick the reference that matches how you're running it, and load it before doing anything else:

Scripts

All 21 scripts use the single dropbox connection. Each script's inputSchema / outputSchema (Zod) inside the script file is the source of truth for its contract.

Several scripts take an id or url best resolved from another script — those resolution hints are in the field descriptions (e.g. addFolderMember.shared_folder_id ← listSharedFolders; modifySharedLinkSettings.url ← listSharedLinks).

Disambiguation & refusals

Disambiguating items by name. Dropbox addresses items by path or id, and paths are case-insensitive — two items can look like the same name. Before writing to (move/copy/delete/share) an item the user named in words rather than by exact path, resolve it first with searchFiles or listFolder:

• Exactly one match → act on it; don't over-confirm.
• Two or more matches that tie (e.g. report.pdf in two different folders, or a shared-folder name that collides) → stop, list the candidates with a distinguishing field (full path_display, or shared_folder_id for folders), and ask which one. Never silently pick.

The entity types most likely to collide here are files/folders by name (resolve via searchFiles/listFolder, disambiguate on path_display) and shared folders by name (resolve via listSharedFolders, disambiguate on shared_folder_id).

Operations this connector does NOT perform — say so, don't fake it. If the user asks for one of these, tell them it's unsupported rather than substituting a different tool and reporting success:

• Bulk/batch moves, copies, or deletes in one call. There is no batch tool — loop the single-item tools (moveFile/copyFile/deletePath) yourself, or tell the user it'll be one call per item.
• Reading binary documents (PDF/image/Office) as text, OCR, or document parsing. getFileContents returns UTF-8 text only; for other files it returns is_text:false and you must hand off the bytes via getTemporaryLink. Don't claim to have read a PDF's contents.
• Fetching or editing an individual file request, or sharing a whole folder as a managed share. Only createFileRequest + listFileRequests are available; there is no get/update file-request or shareFolder tool.

Auth

Every shape passes auth as one connection selector, not the secret — a [<resolver>:]<value> string. Every connector accepts zapier:<connection-id> (Zapier-managed auth — routes through Zapier's auth, retries, and governance layer); some also accept one or more direct-token resolvers (naming and count vary per connector) — check this connector's own resolvers rather than assuming. The <resolver>: prefix is optional; a bare value goes to the first resolver that claims it — a UUID-shaped bare value always claims zapier:. Each script declares the connections it needs and the resolvers each accepts. The exact syntax for passing a connection (and how to see this connector's resolver list) differs by shape — see the reference you loaded above.

Checking what's already configured first? Don't dump environment values to do it — env or env | grep <name> prints the value along with the name, leaking a live credential into the transcript if one is set. Check names only (env | cut -d= -f1 | grep -i <name>) or test a known name directly ([ -n "$VAR_NAME" ]).

No connection yet? Pick one — and follow the reference's own flow to obtain it; never just ask the user for a connection id or token as if they already have one memorized:

Output format

Every script returns a { data, meta } envelope:

• data — the script's result (the shape its outputSchema declares; see the reference you loaded above for how to inspect a script's exact schema in your shape).
• meta.outputDataValidation — what validating data did:
  • { skipped: false, droppedPaths: null } — validated, nothing removed.
  • { skipped: false, droppedPaths: [...], instruction } — validated, but those paths were stripped from data: fields the script returned from the API that the outputSchema doesn't declare. If you need them, re-run with output validation skipped.
  • { skipped: true } — validation was bypassed; data is the raw, unchecked script output.

Reading dropped fields / skipOutputDataValidation. To receive the raw, unvalidated result, opt out of output validation (the exact syntax differs by shape — see the reference you loaded above). Input validation is never skipped.

Trimming the result / filterOutputData. To shrink a large result down to the fields you need, pass a jq expression that post-processes data (again, exact syntax per shape). The jq runs against data only, NOT the { data, meta } envelope, so write it rooted at data (run the script's --help — or your shape's equivalent — to see its output schema). The transformed value replaces data, meta is preserved, and the result is NOT re-validated against the output schema.

References

Load the matching reference file before working in that area: