M
Mcp
Search, label, and manage your X (Twitter) bookmarks from any MCP client via Tweetsmash
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Install Config Generator
Choose your client
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Documentation Overview
Tweetsmash MCP Server: X (Twitter) Bookmarks for AI Agents
The Tweetsmash MCP server connects Claude, ChatGPT, Cursor, Raycast, and any Model Context Protocol client to your X (Twitter) bookmarks. Search them semantically, count them, and manage labels through natural language.
Tweetsmash is a bookmark manager for X (Twitter): it imports the posts you bookmark on X into a searchable library, syncs them to Notion, Google Sheets, and Zotero, and exposes them to AI agents through this MCP server and an X bookmarks API.
Quick start
- Create a Tweetsmash account at tweetsmash.com and import your X bookmarks (one click).
- Generate an API token: Settings > Integrations > API.
- Add the server to your MCP config:
Hosted endpoint (no local install)
Point any remote MCP client at:
with your Tweetsmash API token as a Bearer header.
Tools
| Tool | What it does |
|---|---|
list_bookmarks | Page through saved posts with filters |
search_bookmarks | Keyword and semantic search across every bookmark |
get_bookmark_count | Count bookmarks, optionally by label |
list_labels | List every label in your library |
add_labels_to_tweets | Label bookmarks from your agent |
remove_labels_from_tweets | Remove labels |
setup_vector_store | Build the semantic search index |
Example prompts
- "Find my bookmarks about prompt engineering"
- "How many bookmarks mention MCP?"
- "Label everything I saved last week as AI"
Links
- X Bookmarks MCP
- Setup guide: Claude Desktop, Raycast, Smithery
- X Bookmarks API
- npm: @tweetsmash/mcp
- Smithery listing
License
MIT
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Frequently Asked Questions about Mcp
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CategorySocial Media
32Quality signal: Emerging · 32/100How this signal is calculated ▾
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Documentation & tools11/30
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