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Typefully MCP Server

@pepuscz

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

pepuscz

提交者

pepuscz

关于 Typefully MCP Server

MCP server for Typefully service

#mcp#typefully#mcp-server

Typefully MCP Server 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"
      }
    }
  }
}

Typefully MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

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

常见问题

1

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).

2

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.

3

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.

4

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.

5

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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