Linkhut
Your Toolhouse AI Worker can connect to Linkhut using 5 specialized tools.
This service requires an auth connection to use its tools. You can set this up in your Toolhouse dashboard under Auth Connections.
Tools (5)
Linkhut Add Bookmark
Linkhut Add BookmarkIntegration name: LINKHUT_ADD_BOOKMARK
Adds a new bookmark to LinkHut. The bookmark can be marked as private/public and read/unread, with optional tags and notes.
Parameters
Your Toolhouse AI worker will automatically pass these parameters as input when the tool is called.
url
string
✅
"https://example.com"
The URL of the webpage to bookmark
tags
string
"tech,learning,reference"
Comma-separated list of tags for the bookmark
shared
boolean
—
Whether the bookmark should be public (true) or private (false)
toread
boolean
—
Whether to mark the bookmark as unread
extended
string
"This is a great resource for learning"
Additional notes or description for the bookmark
description
string
✅
"Example Website"
The title or description of the bookmark
Linkhut Delete Bookmark
Linkhut Delete BookmarkIntegration name: LINKHUT_DELETE_BOOKMARK
This tool allows users to delete a bookmark from their Linkhut account by providing the bookmark URL. It operates independently and only requires the URL parameter to identify and remove the bookmark.
Parameters
Your Toolhouse AI worker will automatically pass these parameters as input when the tool is called.
url
string
✅
"https://example.com"
The URL of the bookmark to delete
Linkhut Get All Tags
Linkhut Get All TagsIntegration name: LINKHUT_GET_ALL_TAGS
Retrieves a list of all tags and their usage counts for the authenticated user. No additional parameters required besides authentication.
Parameters
Your Toolhouse AI worker will automatically pass these parameters as input when the tool is called.
No parameters required.
Linkhut Get Bookmarks
Linkhut Get BookmarksIntegration name: LINKHUT_GET_BOOKMARKS
Retrieves bookmarks from the user's Linkhut account with optional filtering. This tool fetches bookmarks from Linkhut and supports filtering by:
Tag: Filter by one or more tags (space-separated)
Date: Filter by a specific date (ISO8601 format)
URL: Get a specific bookmark by its exact URL
Meta: Request additional metadata about bookmarks
Returns a list of bookmarks with details including URL, title/description, tags, extended notes, timestamp, privacy status (shared), and read status (toread).
Parameters
Your Toolhouse AI worker will automatically pass these parameters as input when the tool is called.
dt
string
"2024-01-01T12:00:00Z"
Filter by date in ISO8601 format (CCYY-MM-DDThh:mm:ssZ). Returns bookmarks saved on this specific date. If not specified, returns bookmarks from the most recent date
tag
string
"tech"
Filter bookmarks by tag. You can filter by multiple tags by separating them with spaces (e.g., 'tech learning')
url
string
"https://example.com"
Filter by a specific URL. Returns the bookmark for this exact URL if it exists
meta
string
"yes"
Include additional metadata in the response. Set to 'yes' to request metadata
Linkhut Update Bookmark
Linkhut Update BookmarkIntegration name: LINKHUT_UPDATE_BOOKMARK
This tool allows users to update an existing bookmark in LinkHut. The tool updates the metadata of a bookmark including its title, description, and tags.
Parameters
Your Toolhouse AI worker will automatically pass these parameters as input when the tool is called.
url
string
✅
"https://example.com"
The URL of the bookmark to update
tags
string
"updated,tech,reference"
Comma-separated list of tags for the bookmark
shared
boolean
—
Whether the bookmark should be public (true) or private (false)
toread
boolean
—
Whether to mark the bookmark as unread
extended
string
"Updated notes about this resource"
Additional notes or description for the bookmark
description
string
✅
"Updated Example Website"
The new title or description of the bookmark