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Twitter Bookmarks MCP

by chrislee973

This MCP server provides Claude and other AI assistants access to your Twitter bookmarks in the form of a SQLite database. It allows you to search, analyze, chat with, and generate visualizations of your bookmarks directly in clients like Claude Desktop.

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What is Twitter Bookmarks MCP?

A MCP server that provides an interface for AI assistants like Claude to access and interact with your Twitter bookmarks stored in a SQLite database.

How to use Twitter Bookmarks MCP?

  1. Extract your Twitter bookmarks as a JSON file and convert them to a SQLite database using the provided tool. 2. Clone the repository and install dependencies. 3. Run the MCP install command, providing the path to your database file. 4. Restart Claude Desktop and start asking questions about your bookmarks.

Key features of Twitter Bookmarks MCP

  • Provides a SQLite database interface

  • Includes tools for schema retrieval, SQL queries, and full-text search

  • Enables AI assistants to analyze and visualize Twitter bookmarks

  • Companion app for Twitter Bookmark Search

Use cases of Twitter Bookmarks MCP

  • Searching for specific tweets within your bookmarks

  • Analyzing the content and frequency of your bookmarks

  • Generating visualizations of your bookmark data

  • Chatting with an AI assistant about your bookmarks

FAQ from Twitter Bookmarks MCP

How do I get my Twitter bookmarks in JSON format?

Follow the steps outlined on the Twitter Bookmark Search website.

How do I convert my JSON bookmarks to a SQLite database?

Use the claude-plugin page on the Twitter Bookmark Search website.

What is the get_schema() tool used for?

It returns the database schema, allowing the AI assistant to understand the database structure.

What kind of SQL queries can I run?

You can run any read-only SQL query to retrieve data from the database.

What kind of questions can I ask Claude?

You can ask questions about the content of your bookmarks, search for specific tweets, or request visualizations of your bookmark data.