Typefully MCP Server
@pepuscz
About Typefully MCP Server
MCP server for Typefully service
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tools
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Overview
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.
Frequently asked questions
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.
Basic information
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