Retrieve LiveJournal entries for a specific date. Provide date in YYYY-MM-DD format and optionally specify the journal.
428,975 tools. Updated 2026-08-09 23:13
"LiveJournal" matching MCP tools:
- Validate LiveJournal credentials and retrieve basic account information.
- Clears cached LiveJournal entries. Specify a journal to clear its cache, or leave empty to clear the default journal's cache.
- Retrieve a LiveJournal entry by item ID and store it locally in SQLite for offline access.
- Retrieve entries modified after a given timestamp from LiveJournal, enabling incremental sync of journal updates.
- Retrieves LiveJournal entries for a specified date, optionally from a given journal, and caches them locally in SQLite for offline access.
- Fetch a LiveJournal entry by its unique itemid. Optionally specify the journal to read entries from a different journal.
- Retrieve comments for a LiveJournal entry by specifying the entry ID, with optional journal name and pagination.
- Retrieve recent posts from a LiveJournal journal, with optional filters for date and entry count.
- Fetches recent entries from a LiveJournal journal and stores them in a local SQLite cache for offline access.
- Post a new journal entry to your LiveJournal journal. Supports setting subject, security level, tags, and scheduled posting. Use dry run to preview before publishing.
- Creates an ljsession cookie to authenticate requests to LiveJournal endpoints, granting access to protected content and actions.
- Find recent LiveJournal entries matching a query. Filter by journal and date to retrieve targeted results.
- Retrieve LiveJournal entries modified after a specified sync time and cache them in SQLite for offline search.
- Retrieve a single journal entry from the local SQLite cache using its itemid for offline access.
- List cached LiveJournal entries stored locally, with optional journal filter and pagination via limit and offset.
- Search through cached LiveJournal entries in your local SQLite database to find specific posts offline.
- Retrieve statistics from the local SQLite cache, including entry counts and storage usage, to monitor caching performance and offline search capabilities.