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.

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接入信息

传输形态: http
鉴权方式: 需 API Key（需要配置：TWEETSMASH_API_KEY）
端点: https://tweetsmash.run.tools

该服务需要凭证，请按官方文档申请后替换占位符

{
  "mcpServers": {
    "Tweetsmash": {
      "headers": {
        "Authorization": "Bearer \u003cYOUR_KEY\u003e"
      },
      "url": "https://tweetsmash.run.tools"
    }
  }
}

能力清单

工具	说明
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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