Typefully MCP Server

Name: Typefully MCP Server
Author: pepuscz

@pepuscz

代码仓库

关于 Typefully MCP Server

MCP server for Typefully service

#mcp #typefully #mcp-server

基本信息

分类

其他

许可证

MIT license

运行时

python

传输方式

stdio

发布者

pepuscz

提交者

pepuscz

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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