How to integrate ContentStudio MCP with Pydantic AI

This guide walks you through connecting ContentStudio to Pydantic AI using the Composio tool router. By the end, you'll have a working ContentStudio agent that can create social posts, manage your inbox, add comments and notes, build campaigns, and create workspaces through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a ContentStudio account through Composio's ContentStudio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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ContentStudio is a social media management platform for publishing, collaboration, analytics, and social inbox workflows. It helps teams plan, manage, and measure social content from one shared workspace.

72 Tools

Introduction

This guide walks you through connecting ContentStudio to Pydantic AI using the Composio tool router. By the end, you'll have a working ContentStudio agent that can create social posts, manage your inbox, add comments and notes, build campaigns, and create workspaces through natural language commands.

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

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

Also integrate ContentStudio with

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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 ContentStudio
  • 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 ContentStudio 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 ContentStudio MCP server, and what's possible with it?

The ContentStudio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ContentStudio account. It provides structured and secure access to social publishing, workspace collaboration, analytics, and Social Inbox workflows, so your agent can create and schedule posts, organize campaigns, analyze performance, manage inbox activity, and coordinate team workflows on your behalf.

  • Social post publishing: Have your agent create drafts, queue or schedule posts, add media and first comments, and apply campaigns, labels, approval options, and platform-specific settings.
  • Campaign and content organization: Let the agent create, find, and remove campaigns or labels, and review content categories available in your workspace.
  • Social performance analytics: Direct your agent to review account summaries, audience growth, demographics, engagement, publishing patterns, media performance, and insights across supported social platforms.
  • Social Inbox management: Instruct your agent to review conversations and comments, add internal notes, apply tags, mark items done or pending, archive activity, and remove supported messages or replies.
  • Workspace collaboration: Have your agent create workspaces, invite team or client members, review approval workflows, and add comments or notes to posts for clearer collaboration.

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

Add Facebook Group Account

Add a Facebook Group to a ContentStudio workspace through the manual connection flow.

Add Inbox Note

Create an internal note on a ContentStudio Social Inbox conversation, optionally mentioning workspace users.

Add Post Comment

Add a collaboration comment to a ContentStudio post, optionally mentioning workspace users.

Add Post Note

Add an internal note to a ContentStudio post.

Bulk Set Inbox Elements Archived

Archive or unarchive 1-100 ContentStudio Social Inbox elements in one provider batch.

Bulk Set Inbox Elements Status

Set the workflow status of 1-100 ContentStudio Social Inbox elements to done or pending in one provider batch.

Connect Bluesky Account

Connect a Bluesky profile directly to a ContentStudio workspace using its handle and a Bluesky app password.

Create Campaign

Create a named, color-coded campaign in a ContentStudio workspace.

Create Inbox Tag

Create a named, color-coded Social Inbox tag in a ContentStudio workspace.

Create Label

Create a named, color-coded label in a ContentStudio workspace.

Create Post

Create a draft, queued, content-category, or scheduled ContentStudio post with complete media, platform publishing, first-comment, label, campaign, and approval options.

Create Workspace

Create a ContentStudio workspace with its required name, logo URL, and timezone.

Delete Campaign

Permanently delete a campaign from a ContentStudio workspace.

Delete Inbox Comment

Permanently delete one public ContentStudio Social Inbox comment from its connected social platform.

Delete Inbox Message

Soft-delete one ContentStudio Social Inbox message from its connected platform account.

Delete Inbox Review Reply

Permanently delete the business reply from one ContentStudio Social Inbox review.

Delete Inbox Tags

Permanently delete one or more ContentStudio Social Inbox tags by ID.

Delete Label

Permanently delete a label from a ContentStudio workspace.

Delete Post

Permanently delete a ContentStudio post and optionally attempt deletion from selected or all social accounts where it was published.

Delete Workspace

Permanently delete a workspace and its workspace-scoped state.

Get AI Insights

Generate AI analytics insights for one connected Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, or YouTube account using one of seven fixed ContentStudio routes.

Get Analytics Summary

Return current-versus-previous summary KPIs for one connected Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, Twitter, or YouTube account.

Get Audience Demographics

Return a supported Facebook, Instagram, LinkedIn, or YouTube audience demographics report through one of eight fixed ContentStudio routes.

Get Audience Growth Analytics

Return audience, follower, or subscriber growth for one connected social account through an explicit platform, report, and granularity combination.

Get Content Analytics

Get analytics for one platform-native Facebook, GMB, Instagram, LinkedIn, Pinterest, TikTok, Twitter, or YouTube content item.

Get Current User

Return the active ContentStudio user associated with the connected API key.

Get Engagement Analytics

Return active-user, impression, engagement, action, page-view, view, or watch-time analytics from one of 21 fixed ContentStudio routes.

Get GMB Activity Analytics

Return Google Business Profile search-keyword, review, or media-activity analytics from one of exactly three documented routes.

Get Inbox Contact

Get the contact profile associated with a ContentStudio Social Inbox element.

Get Media Performance Analytics

Return Facebook reel/video, Instagram hashtag/story/reel, or LinkedIn hashtag performance through one of six fixed ContentStudio routes.

Get Publishing Analytics

Return publishing behavior, posting cadence, pin rollups, YouTube discovery or sharing, or performance-schedule analytics from one of 12 documented routes.

Get Twitter Credits Used

Return Twitter/X API credits consumed by one connected account over a date range.

Invite Team Member

Invite a team or client member to a ContentStudio workspace with a role and the provider's exact structured permission map.

List Approval Workflows

List published approval workflows available in a ContentStudio workspace.

List Campaigns

List or search campaigns in a ContentStudio workspace and return campaign IDs for post assignment.

List Connection Platforms

List every social platform supported by ContentStudio account connection and identify whether each uses OAuth, credentials, or a manual flow.

List Content Categories

List or search content categories in a ContentStudio workspace and return category IDs usable when targeting posts.

List Facebook Text Backgrounds

List every Facebook colored-text background preset ID usable in facebook_options on plain-text posts.

List Inbox Conversation Content

List messages, internal notes, or bookmarked messages for one ContentStudio Social Inbox conversation.

List Inbox Post Comments

List public Social Inbox comment threads for a platform post reference.

List Inbox Tags

List all Social Inbox tags in a ContentStudio workspace.

List Labels

List or search labels in a ContentStudio workspace.

List Media

List and filter media-library assets in a ContentStudio workspace.

List Post Comments

List collaboration comments and internal notes on a ContentStudio post.

List Posts

List ContentStudio workspace posts using status, date, approval, label, campaign, content-category, creator, and comment-state filters.

List Ranked Content Analytics

List one offset-paginated page of top, least-performing, sorted, or pin-performance content analytics for one connected account.

List Social Accounts

List connected social accounts in a ContentStudio workspace.

List Team Members

List or search team members in a ContentStudio workspace and return user and membership IDs, roles, memberships, and available permissions.

List Workspaces

List workspaces accessible to the connected account and return workspace IDs for workspace-scoped tools.

Mark Inbox Element Read

Mark one ContentStudio Social Inbox element as read.

Merge Inbox Tags

Irreversibly replace at least two ContentStudio Social Inbox source tags with one tag using the requested name and color.

Remove Social Account

Disconnect a social account from a ContentStudio workspace.

Remove Team Member

Permanently remove a member from a ContentStudio workspace.

Reply To Inbox Review

Publish a public business reply to a ContentStudio Social Inbox review, replacing its existing reply when one exists.

Review Post Approval

Approve or reject a ContentStudio post that is under review, optionally recording a review comment.

Search Inbox Elements

Search one page of ContentStudio Social Inbox conversations, posts, and reviews using status, text, tag, channel, and targeted-element filters.

Send Inbox Comment

Publish a public comment or reply on a ContentStudio Social Inbox post.

Send Inbox Message

Send a Facebook or Instagram direct message through ContentStudio Social Inbox, optionally with one image or video attachment.

Send Inbox Private Reply

Send a Facebook private reply from a ContentStudio Social Inbox post as a private message, optionally with an attachment.

Set Inbox Comment Hidden

Hide or unhide one ContentStudio Social Inbox comment.

Set Inbox Comment Liked

Like or unlike one ContentStudio Social Inbox comment.

Set Inbox Message Bookmarked

Bookmark or unbookmark one ContentStudio Social Inbox message.

Summarize Inbox Elements

Count ContentStudio Social Inbox conversations, posts, and reviews by all, unassigned, mine, assigned, marked-done, and archived states, optionally filtering by element type and social channel.

Update Campaign

Update a campaign's name or color.

Update Inbox Contact

Partially update the name, email, phone, or company of the contact associated with a ContentStudio Social Inbox element.

Update Inbox Element Tags

Add one or more tags to a ContentStudio Inbox element or remove one tag from it.

Update Inbox Tag

Update a ContentStudio Social Inbox tag's name or color.

Update Label

Update a label's name or color.

Update Post

Fully replace an unpublished post's content, accounts, scheduling, platform options, labels, campaign, and approval configuration.

Update Team Member

Replace a workspace member's role and complete permission map, and optionally replace their team or client membership class.

Update Workspace

Update selected settings of an existing workspace.

Upload Media

Upload one media file or import one public media URL into a ContentStudio workspace media library.

FRAMEWORKS

How to build ContentStudio MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use ContentStudio MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use ContentStudio MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use ContentStudio MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use ContentStudio MCP with Claude Cowork

Codex logo

Codex

Use ContentStudio MCP with Codex

OpenClaw logo

OpenClaw

Use ContentStudio MCP with OpenClaw

Hermes logo

Hermes

Use ContentStudio MCP with Hermes

CLI logo

CLI

Use ContentStudio MCP with CLI

Google ADK logo

Google ADK

Use ContentStudio MCP with Google ADK

LangChain logo

LangChain

Use ContentStudio MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use ContentStudio MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use ContentStudio MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use ContentStudio MCP with LlamaIndex

CrewAI logo

CrewAI

Use ContentStudio MCP with CrewAI

FAQ

Frequently asked questions

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

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

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