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Twitter MCP Server

@serima

基本情報

カテゴリ

その他

トランスポート

stdio

作者

serima

Twitter MCP Server について

概要はまだありません

#twitter-mcp-server#mcp#twitter

Twitter MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "twitter-mcp-server": {
      "command": "node",
      "args": [
        "/path/to/twitter-mcp-server/dist/server.js"
      ]
    }
  }
}

Twitter MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Twitter MCP Server?

Twitter MCP Server is an MCP (Model Context Protocol) server that enables Claude to accurately count Twitter/X post characters and optimize posts. It uses Twitter's official counting library to validate, optimize, and extract entities from post text. This tool is designed for anyone using Claude who needs to craft posts that comply with Twitter/X character limits.

How to use Twitter MCP Server?

Clone the repository, install dependencies with npm install, and build with npm run build. Then configure Claude Desktop by adding the server to your claude_desktop_config.json file. Once configured, use tools like count_tweet_characters, validate_tweet, optimize_tweet, and extract_entities by asking Claude to perform the desired action on your post text.

Key features of Twitter MCP Server

  • Accurately counts characters using Twitter's official method
  • Validates posts against character limits and constraints
  • Provides optimization suggestions for overly long posts
  • Extracts URLs, mentions, and hashtags from text

Use cases of Twitter MCP Server

  • Checking character count before posting to Twitter/X
  • Validating that a post meets Twitter's constraints
  • Optimizing a long post to fit within the 280-character limit
  • Analyzing post text for URLs, @mentions, and hashtags

よくある質問

1

What does Twitter MCP Server do that alternatives don't?

It uses Twitter's official `twitter-text` library for accurate character counting, matching the platform's actual counting method.

2

What are the runtime requirements?

Node.js is required. The server is built with TypeScript and uses the `@modelcontextprotocol/sdk`.

3

Where does my data live?

All processing is local; no data is sent to external servers beyond the MCP interaction with Claude.

4

What tools does it provide?

It provides four tools: `count_tweet_characters`, `validate_tweet`, `optimize_tweet`, and `extract_entities`.

5

Does it require authentication?

No authentication is required. The server works purely on text analysis.

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