Typefully MCP Server

@pepuscz

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

pepuscz

投稿者

pepuscz

Typefully MCP Server について

MCP server for Typefully service

#mcp#typefully#mcp-server

Typefully 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": {
    "typefully": {
      "command": "/path/to/your/typefully-mcp-server/venv/bin/python",
      "args": [
        "-m",
        "typefully_mcp_server.server"
      ],
      "cwd": "/path/to/your/typefully-mcp-server",
      "env": {
        "TYPEFULLY_API_KEY": "your_actual_api_key_here"
      }
    }
  }
}

Typefully 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 Typefully MCP Server?

A Model Context Protocol (MCP) server that integrates with the Typefully API, allowing AI assistants to create and manage drafts on Typefully. It is intended for developers who use MCP-compatible AI tools like Cursor or Claude Desktop.

How to use Typefully MCP Server?

Install from source with Python 3.10+, configure your Typefully API key via macOS Keychain or an environment variable, then add the MCP server configuration to your MCP client. Once set up, invoke tools such as create_draft, get_scheduled_drafts, and get_published_drafts through natural language commands.

Key features of Typefully MCP Server

Create multi‑tweet threads (separated by four newlines)
Schedule drafts for a specific date/time or next free slot
Enable AutoRT and AutoPlug on new drafts
Retrieve scheduled drafts with optional content filtering
Retrieve published drafts with optional content filtering
Securely store API key in macOS Keychain

Use cases of Typefully MCP Server

Compose and schedule a Twitter thread entirely through an AI assistant
Automatically draft and queue posts using a scheduled next‑free slot
Review recently published tweets or threads via a chat interface
Filter and list only threads from your scheduled drafts

よくある質問

What prerequisites are needed to run the server?

Python 3.10 or higher, a Typefully account with API access, and a Typefully API key (available from Settings > Integrations in Typefully).

How do I store my Typefully API key?

You can store it in the macOS Keychain (Service: `typefully-mcp-server`, Account: `api_key`) or set it as an environment variable. Environment variables take priority over keychain storage.

What tools does the server provide?

The server provides `create_draft`, `get_scheduled_drafts`, and `get_published_drafts`. Each tool accepts optional parameters for content filtering, scheduling, and threading.

Can I filter drafts by type?

Yes. Both `get_scheduled_drafts` and `get_published_drafts` accept a `content_filter` parameter that accepts `"tweets"` or `"threads"` to narrow results.

How do I test the server after setup?

Run the included `test_read_api.py` script after configuring your API key and activating the virtual environment. It verifies API connectivity.

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