How to integrate OneUp MCP with Pydantic AI

This guide walks you through connecting OneUp to Pydantic AI using the Composio tool router. By the end, you'll have a working OneUp agent that can create social posts, upload media, edit scheduled posts, comment on posts, and analyze engagement through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a OneUp account through Composio's OneUp MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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OneUp is a social media management platform for scheduling posts, comments, accounts, media, and analytics. Use it to manage multiple social networks from one place and keep publishing consistent.

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Introduction

This guide walks you through connecting OneUp to Pydantic AI using the Composio tool router. By the end, you'll have a working OneUp agent that can create social posts, upload media, edit scheduled posts, comment on posts, and analyze engagement through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a OneUp account through Composio's OneUp 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 OneUp
  • 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 OneUp 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 OneUp MCP server, and what's possible with it?

The OneUp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your OneUp account. It provides structured and secure access to your social accounts, posts, comments, media, and analytics, so your agent can schedule content, manage conversations, review performance, organize accounts, and discover trending sounds on your behalf.

  • Social post creation and scheduling: Have your agent create text, image, or video posts as drafts, scheduled content, or timeslot posts for selected social accounts.
  • Post management and recovery: Direct your agent to list posts, edit or delete scheduled content, and reschedule failed posts for a future date and time.
  • Comment and review management: Let the agent refresh and review comment threads, publish comments and replies, delete comments, and check Google Business Profile reviews.
  • Social and advertising analytics: Instruct your agent to review account performance, audience demographics, individual content results, and Meta Ads analytics, or request updated analytics across connected accounts.
  • Account and content discovery: Have your agent check connected account health, browse account categories, find Instagram or TikTok trending sounds, and list Pinterest boards or YouTube playlists.

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 OneUp
  • 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 OneUp
  • MCPServerStreamableHTTP connects to the OneUp 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 OneUp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["oneup"],
    )
    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 OneUp 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
oneup_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[oneup_mcp],
    instructions=(
        "You are a OneUp assistant. Use OneUp tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the OneUp endpoint
  • The agent uses GPT-5 to interpret user commands and perform OneUp 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 OneUp.\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
  • OneUp 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 OneUp 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 OneUp
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["oneup"],
    )
    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
    oneup_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[oneup_mcp],
        instructions=(
            "You are a OneUp assistant. Use OneUp 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 OneUp.\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 OneUp through Composio's Tool Router. With this setup, your agent can perform real OneUp 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 + OneUp 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 OneUp action and event your agent gets out of the box.

Comment On Post

Publish a new top-level comment on a social post through a connected OneUp social account.

Create Image Post

Create a scheduled, timeslot, or draft image post for selected OneUp social accounts.

Create Media Upload URL

Create a temporary OneUp media upload URL and return instructions for a separate direct upload.

Create Text Post

Create a scheduled, timeslot, or draft text post for selected OneUp social accounts.

Create Video Post

Create a scheduled, timeslot, or draft video post for selected OneUp social accounts.

Delete Comment

Permanently and irreversibly delete a social-platform comment and its local OneUp record.

Delete Scheduled Post

Permanently and irreversibly delete an unpublished scheduled OneUp post.

Edit Scheduled Post

Replace the content and optionally the title of a scheduled OneUp post.

Get Analytics Overview

Get account-level overview metrics and ranked performance for a connected account on a supported social platform.

Get Audience Demographics

Get audience demographics for a connected Facebook, Instagram, TikTok, or YouTube account for a preset or custom reporting period.

Get Content Analytics

Get per-post, Reel, or Story analytics for a connected account on a supported social platform.

Get Google Business Reviews

Get Google Business Profile reviews and aggregate rating information for a connected account or location.

Get Meta Ads Analytics

Get campaign, ad-set, or individual-ad analytics for a connected Meta Ads account.

List Categories

List OneUp categories used to group connected social accounts.

List Category Accounts

List social accounts assigned to a OneUp category.

List Comment Replies

Fetch child replies for a parent social-platform comment.

List Comment Threads

List social posts with top-level comments and child replies in the requested order, one page at a time.

List Instagram Trending Sounds

Search Instagram trending sounds for a Facebook-connected Instagram Business or Creator account.

List Pinterest Boards

List boards available to a connected Pinterest username for post targeting.

List Posts

List scheduled, published, or failed OneUp posts, one page at a time.

List Social Accounts

List all connected OneUp social accounts and their connection health.

List TikTok Trending Sounds

Get TikTok trending commercial sounds for a documented country, period, genre, and connected TikTok account.

List YouTube Playlists

List playlists for a connected YouTube channel.

Refresh Analytics

Start a background refresh of analytics for all connected social accounts.

Refresh Comments

Start a background refresh of comments from connected social platforms.

Reply To Comment

Publish a direct reply to an existing social-platform comment.

Reschedule Failed Post

Move a failed post back into the schedule at a future date and time.

FRAMEWORKS

How to build OneUp MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use OneUp MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use OneUp MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use OneUp MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use OneUp MCP with Claude Cowork

Codex logo

Codex

Use OneUp MCP with Codex

OpenClaw logo

OpenClaw

Use OneUp MCP with OpenClaw

Hermes logo

Hermes

Use OneUp MCP with Hermes

CLI logo

CLI

Use OneUp MCP with CLI

Google ADK logo

Google ADK

Use OneUp MCP with Google ADK

LangChain logo

LangChain

Use OneUp MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use OneUp MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use OneUp MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use OneUp MCP with LlamaIndex

CrewAI logo

CrewAI

Use OneUp MCP with CrewAI

FAQ

Frequently asked questions

With a standalone OneUp MCP server, the agents and LLMs can only access a fixed set of OneUp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from OneUp 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 OneUp tools.

Yes, absolutely. You can configure which OneUp 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 OneUp data and credentials are handled as safely as possible.

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