Skip to main content
Glama

Typefully MCP Server

by pepuscz
README.md4.84 kB
[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/pepuscz-typefully-mcp-server-badge.png)](https://mseep.ai/app/pepuscz-typefully-mcp-server) # Typefully MCP Server A Model Context Protocol (MCP) server that provides integration with the Typefully API, allowing AI assistants to create and manage drafts on Typefully. ## Features - **Create drafts** with full support for: - Multi-tweet threads (using 4 newlines as separator) - Automatic threadification - Scheduling (specific date/time or next free slot) - AutoRT and AutoPlug features - Share URLs - **Get scheduled drafts** with optional filtering - **Get published drafts** with optional filtering ## Installation ### Prerequisites - Python 3.10 or higher - A Typefully account with API access - Your Typefully API key (get it from Settings > Integrations in Typefully) ### Install from source 1. Clone this repository: ```bash git clone <repository-url> cd typefully-mcp-server ``` 2. Create and activate a virtual environment: ```bash python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. Install the package: ```bash pip install -e . ``` ## Configuration ### API Key Management This server supports secure API key storage using macOS Keychain. You have two options: #### Option 1: macOS Keychain (Recommended) 🔐 Store your API key securely in the macOS System keychain: - **Service**: `typefully-mcp-server` - **Account**: `api_key` - **Password**: Your Typefully API key For detailed keychain setup instructions, see [CURSOR_SETUP.md](CURSOR_SETUP.md). #### Option 2: Environment Variables You can set the API key as an environment variable or include it directly in your MCP configuration. **Note:** Environment variables take priority over keychain storage for compatibility. ### MCP Configuration For detailed MCP client setup instructions (Cursor, Claude Desktop, etc.), see [CURSOR_SETUP.md](CURSOR_SETUP.md). Basic MCP configuration example: ```json { "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" } } } ``` ## Usage Once configured, the MCP server provides the following tools: ### create_draft Create a new draft in Typefully. **Parameters:** - `content` (required): The content of the draft. Use 4 consecutive newlines to split into multiple tweets. - `threadify` (optional): Automatically split content into multiple tweets - `share` (optional): If true, returned payload will include a share_url - `schedule_date` (optional): ISO formatted date (e.g., "2024-01-15T10:30:00Z") or "next-free-slot" - `auto_retweet_enabled` (optional): Enable AutoRT for this post - `auto_plug_enabled` (optional): Enable AutoPlug for this post **Example:** ``` Create a draft with content "Hello from MCP! This is my first automated tweet." and schedule it for next free slot ``` ### get_scheduled_drafts Get recently scheduled drafts from Typefully. **Parameters:** - `content_filter` (optional): Filter drafts to only include "tweets" or "threads" **Example:** ``` Get my scheduled drafts that are threads only ``` ### get_published_drafts Get recently published drafts from Typefully. **Parameters:** - `content_filter` (optional): Filter drafts to only include "tweets" or "threads" **Example:** ``` Show me all my recently published tweets ``` ## Testing A test script is included to verify the server functionality: ```bash # Make sure your virtual environment is activated source venv/bin/activate # On Windows: venv\Scripts\activate # Test the API connectivity (requires API key configured) python test_read_api.py ``` ## Development ### Project Structure ``` typefully-mcp-server/ ├── src/ │ └── typefully_mcp_server/ │ ├── __init__.py │ ├── server.py # Main MCP server implementation │ ├── client.py # Typefully API client │ ├── keychain.py # Secure keychain integration │ └── types.py # Type definitions ├── pyproject.toml ├── requirements.txt ├── README.md └── test_read_api.py # Test script ``` ### Running Tests ```bash # Make sure your virtual environment is activated source venv/bin/activate # On Windows: venv\Scripts\activate # Install development dependencies pip install -e ".[dev]" # Run tests pytest ``` ## API Reference This MCP server implements a subset of the [Typefully API](https://support.typefully.com/en/articles/8718287-typefully-api). For more details on the API endpoints and options, refer to the official documentation. ## License MIT License ## Contributing Contributions are welcome! Please feel free to submit a Pull Request.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pepuscz/typefully-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server