MCP server for Typefully API integration
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[](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 { …
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