Enterprise DNA
M MCP Servers Developer low

farukkolip/xtapdown-mcp

by Various

XTapDown MCP Server — 14 X (Twitter) creator tools for Claude, ChatGPT, Gemini and any MCP client

F

MCP

farukkolip/xtapdown-mcp

Added 4 July 2026

#anthropic #claude #creator-tools #mcp #model-context-protocol #tweet-downloader #x-twitter

Overview

XTapDown MCP Server provides 14 X (Twitter) creator tools that integrate with Claude, ChatGPT, Gemini, and any MCP client. It is built in JavaScript and enables automated interactions with Twitter features through the Model Context Protocol.

Best for

Best for
Developers who want to control Twitter accounts from AI assistants via MCP

Use cases

  • Automate tweet scheduling and posting from an MCP client
  • Extract and analyze Twitter data for content research
  • Manage Twitter account actions like following or liking programmatically

Notes

XTapDown MCP Server provides 14 X (Twitter) creator tools that integrate with Claude, ChatGPT, Gemini, and any MCP client. It is built in JavaScript and enables automated interactions with Twitter features through the Model Context Protocol.

0 stars on GitHub. Last updated 2026-06-25. Licensed MIT.

Use cases

  • Automate tweet scheduling and posting from an MCP client
  • Extract and analyze Twitter data for content research
  • Manage Twitter account actions like following or liking programmatically

Pros

  • Works with multiple popular AI assistants and MCP clients
  • Offers a broad set of 14 creator-focused Twitter tools
  • Open source and free to use or modify

Cons

  • No stars or community traction yet, indicating limited adoption
  • Requires setup and configuration of MCP environment
  • Dependent on Twitter API reliability and rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with multiple popular AI assistants and MCP clients
  • Offers a broad set of 14 creator-focused Twitter tools
  • Open source and free to use or modify

Cons

  • No stars or community traction yet, indicating limited adoption
  • Requires setup and configuration of MCP environment
  • Dependent on Twitter API reliability and rate limits