airtable-filters
$
npx mdskill add openai/plugins/airtable-filtersMCP tools that list or display records from tables or interface pages accept an optional `filters` parameter, using the same schema.
SKILL.md
.github/skills/airtable-filtersView on GitHub ↗
---
name: airtable-filters
description: Use this skill when the user wants to find, filter, or narrow down Airtable records by field values, even when they don't explicitly say "filter."
license: MIT
metadata:
version: '1.0.0'
author: airtable
---
# Airtable MCP Filters
MCP tools that list or display records from tables or interface pages accept an optional `filters` parameter, using the same schema.
When querying records from an interface page, these filters are combined with the page's built-in filters using AND.
## Schema shape
When no top-level `operator` is specified, conditions are combined with AND. The first element in a condition's `operands` array is always a **field ID** — look up the table's schema to find field IDs before filtering.
## Field type categories
- **Text-like**: singleLineText, multilineText, email, url, phoneNumber, richText, barcode
- **Numeric**: number, percent, currency, rating, duration, autoNumber, count
- **Date**: date, dateTime, createdTime, lastModifiedTime
- **Single select**: singleSelect
- **Multiple selects**: multipleSelects
- **Single collaborator**: singleCollaborator
- **Multiple collaborators**: multipleCollaborators
- **Linked records**: multipleRecordLinks
- **Attachment**: multipleAttachments
- **Checkbox**: checkbox
Computed fields (formula, rollup, lookup) support whichever operators match their result type.
## Comparison operators
| Operator | Second operand | Field categories |
| ----------------------- | ---------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |
| `=` | string, number, boolean, choice ID | text-like, numeric, date, checkbox, single select, multiple selects, single collaborator, multiple collaborators, linked records |
| `!=` | string, number, choice ID | text-like, numeric, date, single select, single collaborator |
| `<`, `>`, `<=`, `>=` | number or date value object | numeric, date |
| `contains` | string | text-like, linked records |
| `doesNotContain` | string | text-like, linked records |
| `doesNotContain` | array of IDs | multiple selects, multiple collaborators |
| `isEmpty`, `isNotEmpty` | _(none)_ | text-like, numeric, date, single select, multiple selects, single collaborator, multiple collaborators, linked records, attachment |
| `hasAnyOf`, `hasAllOf` | array of IDs | multiple selects, multiple collaborators, linked records |
| `isAnyOf` | array of IDs | single select, single collaborator |
| `isNoneOf` | array of IDs | single select, single collaborator, linked records |
| `isWithin` | date range object | date |
| `filename`, `fileType` | string or `"image"`/`"text"` | attachment |
When matching a field against multiple values, prefer dedicated operators (`isAnyOf`, `isNoneOf`, `hasAnyOf`, `hasAllOf`) over combining multiple `=` conditions with `or`/`and`, when those operators are available for the field type.
## Field-type rules
### Select fields
For select fields, operand values must be **choice IDs** (e.g., `"selABCDEFGHIJKLM"`), not display names. Look up the table's schema to find choice IDs before filtering.
### Collaborator fields
When filtering by a collaborator group ID, use `operatorOptions` to match individual members of the group instead of the literal group ID. See the tool's `operatorOptions` parameter for details.
Example operand: `{"operator": "hasAnyOf", "operands": ["fldCRi9oz2vRLcIWr", "ugpDUVUnftA7H9bG8"], "operatorOptions": {"matchGroupsByMembership": true}}`
### Attachment fields
Use `fileType` to filter attachments by type (e.g., `"image"`, `"text"`) rather than `isNotEmpty` when the user specifies a file type.
### Date fields
Date comparisons (`=`, `!=`, `<`, `>`, `<=`, `>=`) use a date value object instead of a raw date string, and `isWithin` uses a date range object. The tool schema defines the available modes for each. Always include `timeZone`.
## Composing conditions
A filter's top-level operands array can contain two or more conditions, which are combined with the top-level operator (AND by default). For simple multi-condition filters, this flat structure is sufficient.
When the logic requires mixing AND and OR, nest a filter object as one of the operands. Each nested filter has its own operator and operands.
**OR inside AND** — useful when one condition is fixed and another allows multiple alternatives:
> "Scripted videos that are either in Writing or Pre-Production"
> → Bucket = Scripted AND (Status = Writing OR Status = Pre-Production)
**AND inside OR** — useful when you want records matching either a simple condition or a combination:
> "Approved videos, or videos assigned to Bailey that are in Cut 2"
> → Status = Approved OR (Editor = Bailey AND Status = Cut 2 Ready)
When combining many conditions on different fields, prefer a flat AND rather than unnecessary nesting. Only nest when the logic genuinely requires mixed AND/OR at different levels.
Prefer composing all conditions into a single `filters` object rather than splitting them across multiple calls. A single call with a composed filter is more efficient and returns the correct result set directly.
## Examples
Filter where a text field equals "orange" OR a number field is greater than 5:
```json
{
"operator": "or",
"operands": [
{"operator": "=", "operands": ["fld8WsrpLHHevsnW8", "orange"]},
{"operator": ">", "operands": ["fldulcCPDVz87Bmnw", 5]}
]
}
```
Filter for records where a date field is within the past week:
```json
{
"operands": [
{
"operator": "isWithin",
"operands": ["fldABC12345678x", {"mode": "pastWeek", "timeZone": "America/New_York"}]
}
]
}
```
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