list_tags
List Tags
Retrieve all tags in the user's account along with the number of times each tag has been used. Useful for understanding tagging patterns and finding frequently used tags.
Ask your agent in plain language. Each of these maps to a real tool on the server.
list_tags
Retrieve all tags in the user's account along with the number of times each tag has been used. Useful for understanding tagging patterns and finding frequently used tags.
list_all_bookmarks
Retrieve all bookmarks from the user's account with optional filtering by tag and date range. Supports pagination for large collections. Use sparingly — prefer recent bookmarks or filtered queries when possible.
get_bookmarks
Retrieve bookmarks from Linkhut. Filter by tag, date, specific URL, or URL hash. Without filters, returns bookmarks from the most recent day. Use this for targeted lookups of specific bookmarks.
manage_tag
Delete or rename a tag across all bookmarks. When deleting, the tag is removed from all bookmarks but the bookmarks themselves are preserved. When renaming, all bookmarks with the old tag will be updated to use the new tag name.
list_recent_bookmarks
Retrieve the most recently added bookmarks. Optionally filter by tag and limit the number of results. Useful for getting a quick overview of recent bookmarking activity.
get_tag_suggestions
Get tag suggestions for a given URL. Returns both popular tags (used site-wide by other users) and recommended tags (personalized based on your tagging history). Helpful for consistent and discoverable tagging.
delete_bookmark
Remove a bookmark from Linkhut by its URL. The bookmark and all its associated data will be permanently deleted.
get_bookmark_dates
Get a count of bookmarks per date. Optionally filter by tag. Returns a map of dates to bookmark counts, useful for understanding bookmarking activity over time.
check_for_updates
Check the timestamp of the most recent bookmark modification. Use this before performing a full data sync to determine if any changes have occurred since the last check, avoiding unnecessary API calls.
add_bookmark
Save a new bookmark to Linkhut. Provide a URL and title, with optional notes, tags, visibility, and read-later status. If a bookmark with the same URL already exists, it will be replaced by default unless replacement is disabled.
get_bookmark_hashes
Get the URL hashes and change signatures of all bookmarks for efficient synchronization. Compare signatures to find changes, then use Get Bookmarks with the URL hashes to retrieve matching bookmarks.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
Save, tag, manage, and share web bookmarks with Linkhut. Create or replace bookmarks, retrieve recent or filtered bookmarks, manage tags, and get tag suggestions. Compare bookmark modification timestamps, URL hashes, and change signatures for efficient synchronization. Connect with OAuth or a personal access token.
Common questions about connecting Linkhut to AI agents with Metorial.