Imported from zapier/connectors (apps/notion/SKILL.md). Install upstream with npx skills add zapier/connectors --skill notion. Copyright stays with the author (Elastic-2.0).

Notion

Tools for working with a Notion workspace against the Notion API (https://api.notion.com/v1/, API version 2025-09-03): find pages and data sources, read and create pages, query data-source rows, append and edit block content, manage database / data-source schemas, read and post comments. 24 scripts across search, read, write, schema, comments, and cross-workspace copy. This version uses Notion's data sources model: a database is a container that holds one or more data sources, and a data source carries the property schema + the rows (pages).

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

When to use this

• An agent needs to find or read content — search pages and data sources by title, then read a page, its block body, a data source's schema, or its rows.
• An agent needs to create or edit pages and content — add a page (a row in a data source or a sub-page), update properties, append blocks, or edit / delete blocks.
• An agent needs to query data sources — filter and sort the rows of a data source, or read a single page property.
• An agent needs to manage schemas — create or update databases and data sources (add / rename / retype / remove properties), read or post comments.

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 notion (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 scripts use the single connection notion, except copyPage, which uses two slots (source + target) to copy a page across workspaces.

Disambiguation & refusals

Disambiguation before a write. Before writing to a page or row you looked up by name (e.g. update a page found via search, or a row found via queryDataSource), count the exact case-insensitive title matches:

• Exactly one match — act on it. Don't over-ask; a single unambiguous match is the answer.
• Two or more that tie — stop. List the tied candidates with a distinguishing field (parent, url, or last_edited_time) and ask the user which one they mean. Don't pick arbitrarily and don't write to all of them.

Unsupported operations — say so and stop; don't fake it with another tool. This catalog deliberately does not:

• Permanently delete anything. Everything is trash / restore — pages via updatePage in_trash, blocks via deleteBlock (reversible). There is no hard delete.
• Delete a whole database or data source. There is no tool for it. Don't substitute trashing every row to simulate it.
• Manage workspace members or permissions (inviting users, changing roles, sharing). listUsers / getUser are read-only.
• Create or manage database views. Views aren't exposed by the API.

If asked for any of these, tell the user it's unsupported and stop — don't reach for an unrelated tool to approximate it.

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: