Tweetsmash

Manage and organize your Twitter bookmarks efficiently through AI assistants.

CommunityOnlineAPI key requiredGlobalFreeRead-only

What it can do

  • 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
  • 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 auth
  • 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.

What data it sees

Do you need an account

An API key from the service settings is required

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.

How to connect

How to connect Tweetsmash to Claude

The server address to paste into Claude settings:

https://tweetsmash.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Tweetsmash to ChatGPT

The server address to paste into ChatGPT settings:

https://tweetsmash.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Tweetsmash to Cursor

The server address to paste into Cursor settings:

https://tweetsmash.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

list_bookmarksList 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_bookmarksSearch 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_countGet the total count of user's bookmarks with optional filtering. Useful for understanding the size of bookmark collections before listing them.
list_labelsList all user's labels with their usage counts. Useful for discovering existing labels before adding new ones.
add_labels_to_tweetsAdd 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_tweetsRemove a label from a list of tweets using label_name.
setup_vector_storeInitialize 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.