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Search for content types using standard filters or semantic search.

Input Schema

Parameters

ParameterTypeDefaultDescription
projectIdstringsession defaultProject to search in
querystring-Natural language semantic search query
statusstringpublishedFilter by status
tagsstring[]-Filter by tags
pagenumber1Page number
limitnumber20Items per page (max 100)

Response

FieldTypeDescription
contentTypesarrayArray of content type objects
contentTypes[].idstringUnique content type identifier
contentTypes[].namestringDisplay name
contentTypes[].descriptionstringStructured markdown description
contentTypes[].statusstringPublication status
contentTypes[].versionnumberVersion number
contentTypes[].typeVersionnumberSchema version number
contentTypes[].excerptstringRelevant text excerpt (with query)
contentTypes[].similaritynumberSimilarity score 0-1 (with query)
totalnumberTotal matching items
The schema field is intentionally excluded from search results to minimize token usage. Use get_content_type for full schemas.

Example

Request

Response

Usage

Search using natural language:

Filter by Status

Find draft content types:

Filter by Tags

Find content types with specific tags: