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How to integrate Typefully MCP with Pydantic AI

Connect Pydantic AI to Typefully MCP. Draft a new ai-generated tweet thread, list your recently published typefully posts, and more using natural language, with authentication handled for you.

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Typefully is a platform for creating and managing AI-powered content. It helps individuals and teams craft, schedule, and analyze posts effortlessly.

16 Tools

Introduction

This guide walks you through connecting Typefully to Pydantic AI using the Composio tool router. By the end, you'll have a working Typefully agent that can create and update drafts, manage your publishing queue, organize tags, upload media, and list social sets through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Typefully account through Composio's Typefully MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Typefully
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Typefully workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Typefully MCP server, and what's possible with it?

The Typefully MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Typefully account. It provides structured and secure access to your Typefully workspace, so your agent can create content drafts, manage notifications, and stay on top of publishing activity on your behalf.

  • Automated content drafting: Let your agent generate and save new draft posts directly to your Typefully account for later review or editing.
  • Real-time notification retrieval: Ask your agent to fetch your latest Typefully notifications, filtered by inbox or activity, so you never miss important updates.
  • Review recently published content: Quickly get a list of your most recent published drafts, making it easy to track your publishing history and monitor engagement.
  • Manage scheduled drafts: Have your agent pull up all your recently scheduled drafts, helping you keep tabs on your content calendar and upcoming posts.
  • Effortless notification management: Direct your agent to mark notifications as read, keeping your workspace tidy and ensuring you stay focused on what matters.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Typefully
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Typefully
  • MCPServerStreamableHTTP connects to the Typefully MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Typefully
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["typefully"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Typefully tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
typefully_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[typefully_mcp],
    instructions=(
        "You are a Typefully assistant. Use Typefully tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Typefully endpoint
  • The agent uses GPT-5 to interpret user commands and perform Typefully operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Typefully.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Typefully API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Typefully and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Typefully
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["typefully"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    typefully_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[typefully_mcp],
        instructions=(
            "You are a Typefully assistant. Use Typefully tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Typefully.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Typefully through Composio's Tool Router. With this setup, your agent can perform real Typefully actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Typefully for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Typefully action and event your agent gets out of the box.

Create Draft (v2)

Create a draft with platform-specific content for X, LinkedIn, Threads, Bluesky, or Mastodon, saving it, scheduling it, or initiating immediate publication.

Create Tag

Creates a new tag for organizing drafts within a social set in Typefully.

Delete Draft

Permanently deletes a draft from Typefully.

Get Current User

Get the current authenticated user's information.

Get Draft

Retrieve a draft by social set and draft ID, including supported platform content, tags, status, and scheduling information.

Get Media Status

Check the processing status of an uploaded media file.

Get Queue

Get queue slots and scheduled and planned drafts for a social set over an inclusive date range, organized by day.

Get Queue Schedule

Get the queue schedule rules and timezone for a social set.

Get Social Set

Get a social set's details and supported connected platform account information for X, LinkedIn, Mastodon, Threads, and Bluesky.

Initialize Media Upload

Initialize an upload for an image, video, GIF, or PDF and return a media ID and presigned upload URL.

List Drafts

List drafts for a social set with filtering and sorting options.

List Social Sets

List all social sets (groups of connected platform accounts) accessible to the authenticated user.

List Tags

List tags for a social set to organize, filter, or categorize drafts.

Resolve LinkedIn Organization

Resolve a LinkedIn organization from its public URL.

Update Draft

Update an existing draft with partial update semantics.

Update Queue Schedule

Replace the queue schedule configuration for a social set.

FRAMEWORKS

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FAQ

Frequently asked questions

With a standalone Typefully MCP server, the agents and LLMs can only access a fixed set of Typefully tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Typefully and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Typefully tools.

Yes, absolutely. You can configure which Typefully scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Typefully data and credentials are handled as safely as possible.

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