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Explorer/MCP/RamyaChinnadurai/tweetsmash

Tweetsmash

REMOTE
RamyaChinnadurai/tweetsmash

Manage and organize your Twitter bookmarks efficiently through AI assistants. List, search, filter, and label bookmarks to enhance your Twitter experience. Integrate seamlessly with AI tools supporting the Model Context Protocol for streamlined bookmark handling.

Tools
7
Indexed
254d ago
Deployment
remote
Endpoint
https://tweetsmash.run.tools
Tools (7)
list_bookmarks
List user's Twitter bookmarks with optional filtering and pagination. Supports filtering by read status, media type, author, tags, date ranges, and sorting options. IMPORTANT: Use this tool (with the 'author' parameter) when the user asks to show tweets by a specific author.
search_bookmarks
Search through a user's Twitter bookmarks using keyword search (q), semantic search (vector_search_term), or author filtering (author). At least one of q, vector_search_term, or author should be provided. IMPORTANT: Use the 'author' parameter for filtering by author, not the 'q' field.
get_bookmark_count
Get the total count of user's bookmarks with optional filtering. Useful for understanding the size of bookmark collections before listing them.
list_labels
List all user's labels with their usage counts. Useful for discovering existing labels before adding new ones.
add_labels_to_tweets
Add a label to a list of tweets. Can use an existing label by ID or create a new label by name. Either label_id or label_name must be provided.
remove_labels_from_tweets
Remove a label from a list of tweets using label_name.
setup_vector_store
Initialize the vector store for semantic bookmark search. CRITICAL: When vector/semantic search fails with 'Vector Store Not Setup' error, call this tool. This is an async operation that may take a few minutes for large bookmark collections.
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