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Typefully MCP Server

@pepuscz

Typefully MCP Server について

MCP server for Typefully service

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

python

トランスポート

stdio

公開者

pepuscz

投稿者

pepuscz

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"
      }
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from Typefully MCP Server

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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