How to integrate Linkedin Ads MCP with Pydantic AI

This guide walks you through connecting Linkedin Ads to Pydantic AI using the Composio tool router. By the end, you'll have a working Linkedin Ads agent that can list active campaigns with daily spend, compare ad performance by campaign objective, create report for sponsored content clicks through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Linkedin Ads account through Composio's Linkedin Ads MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Linkedin Ads

Oauth2

Linkedin Ads is LinkedIn's marketing platform for creating, managing, and measuring paid campaigns across LinkedIn. It helps teams reach professional audiences with precise targeting, campaign analytics, and sponsored content tools.

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Introduction

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

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

Also integrate Linkedin Ads with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Linkedin Ads
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 Linkedin Ads 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 Linkedin Ads MCP server, and what's possible with it?

The Linkedin Ads MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Linkedin Ads account. It provides structured and secure access to your ad accounts, campaign groups, creatives, targeting data, lead forms, and organization content, so your agent can search ad accounts, inspect campaigns, create lead forms, review targeting options, and forecast ad inventory on your behalf.

Ad account discovery and creation: Have your agent search existing ad accounts by status or type, retrieve account details, or create a new ad account.
Campaign and creative review: Let the agent retrieve campaign group details and search your LinkedIn Ads creatives using available filters.
Audience targeting and forecasting: Direct your agent to explore targeting options such as industries, locations, seniorities, job functions, and skills, then check ad inventory forecasts for your planned audience, budget, and bid.
Lead forms and conversion tracking: Instruct your agent to create or retrieve lead generation forms and list the conversion rules connected to an ad account.
Organization content and audience data: Have your agent find LinkedIn organizations, review posting permissions, list organization posts, and inspect available audience segments.

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:

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

Step-by-step Guide

Step by step09 STEPS

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

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.

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 Linkedin Ads
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

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

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 Linkedin Ads
MCPServerStreamableHTTP connects to the Linkedin Ads MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

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 Linkedin Ads
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["linkedin_ads"],
    )
    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 Linkedin Ads 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

Initialize the Pydantic AI Agent

python

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

What's happening:

The MCP client connects to the Linkedin Ads endpoint
The agent uses GPT-5 to interpret user commands and perform Linkedin Ads operations
The instructions field defines the agent's role and behavior

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 Linkedin Ads.\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
Linkedin Ads API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

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 Linkedin Ads 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 Linkedin Ads
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["linkedin_ads"],
    )
    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
    linkedin_ads_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[linkedin_ads_mcp],
        instructions=(
            "You are a Linkedin Ads assistant. Use Linkedin Ads 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 Linkedin Ads.\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 Linkedin Ads through Composio's Tool Router. With this setup, your agent can perform real Linkedin Ads 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 + Linkedin Ads 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 Linkedin Ads action and event your agent gets out of the box.

Create Ad Account

Tool to create a new LinkedIn ad account for campaign management.

Create Lead Form

Tool to create a new LinkedIn lead generation form for ads.

Get Ad Account

Tool to retrieve a specific LinkedIn Ad Account by ID.

Get Ad Analytics

Tool to retrieve LinkedIn ad analytics and reporting metrics for campaigns, creatives, and accounts.

Get Audience Counts

Get estimated audience size for given targeting criteria on LinkedIn Ads.

Get Campaign Group

Tool to retrieve a specific LinkedIn Ads campaign group by ID.

Get lead form by ID

Tool to retrieve a specific LinkedIn lead form by its ID.

Get organization follower count

Tool to retrieve follower count for a LinkedIn organization.

Get organization access control list

Tool to retrieve organization access control list showing who has admin or poster rights for organizations.

Get organization page statistics

Tool to retrieve page view and click statistics for a LinkedIn organization page.

Get organization follower statistics

Tool to retrieve follower growth statistics for a LinkedIn organization.

Get organization share statistics

Tool to retrieve share and engagement statistics for an organization's content on LinkedIn.

Get Ad Supply Forecasts

Retrieve supply forecasts for LinkedIn ad inventory based on targeting criteria, budget, and bid settings.

Get Targeting Entities

Tool to retrieve targeting entities for LinkedIn Ads campaigns.

Get Targeting Facets

Tool to retrieve available ad targeting facets including industries, locations, seniorities, job functions, skills, and more.

List Conversion Rules

Tool to list all conversion rules for a LinkedIn ad account.

List DMP Segments

Tool to list DMP (Data Management Platform) segments for LinkedIn ad accounts.

List Lead Forms

Tool to list LinkedIn lead forms for an organization or by specific IDs.

List Organizations

Tool to search and list LinkedIn organizations by IDs, vanity name, or parent organization.

List LinkedIn posts

Tool to list LinkedIn posts by author or retrieve multiple posts by IDs.

Lookup organizations

Tool to batch lookup organization details by IDs without requiring admin access.

Tool to register an upload for media assets (images, videos) on LinkedIn.

Search Ad Accounts

Tool to search for LinkedIn ad accounts with filtering by status, type, and test mode.

Search Campaigns

Tool to search and list campaigns in a LinkedIn Ads account with filtering options.

Search LinkedIn Ads Creatives

Tool to search and list LinkedIn Ads creatives with filtering options.

Search Events

Tool to search and list LinkedIn events by organizer with filtering options.

Update lead form

Tool to update an existing LinkedIn lead form.

Update organization access control

Tool to update organization access control for a user on LinkedIn.

FRAMEWORKS

How to build Linkedin Ads MCP Agent with another framework

OpenAI Agents SDK

Use Linkedin Ads MCP with OpenAI Agents SDK

Claude Agent SDK

Use Linkedin Ads MCP with Claude Agent SDK

Claude Code

Use Linkedin Ads MCP with Claude Code

Claude Cowork

Use Linkedin Ads MCP with Claude Cowork

Codex

Use Linkedin Ads MCP with Codex

OpenClaw

Use Linkedin Ads MCP with OpenClaw

Hermes

Use Linkedin Ads MCP with Hermes

CLI

Use Linkedin Ads MCP with CLI

Google ADK

Use Linkedin Ads MCP with Google ADK

LangChain

Use Linkedin Ads MCP with LangChain

Vercel AI SDK

Use Linkedin Ads MCP with Vercel AI SDK

Mastra AI

Use Linkedin Ads MCP with Mastra AI

LlamaIndex

Use Linkedin Ads MCP with LlamaIndex

CrewAI

Use Linkedin Ads MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Adtraction

Api Key

Adtraction is an affiliate marketing platform for partner programs, tracking links, transactions, commissions, statistics, and payments. It helps advertisers and publishers manage performance marketing with clear reporting and payout workflows.

Bulk Email Checker

Api Key

Bulk Email Checker is an email verification service for checking address validity, mailbox status, domains, and mail-server signals. It helps reduce bounces, spot risky emails, and keep outreach lists cleaner before you send.

Campaign cleaner

Api Key

Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign.

Deadline funnel

Api Key

Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.

FAQ

Frequently asked questions

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

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

Start with Linkedin Ads.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Linkedin Ads tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Linkedin Ads MCP with Pydantic AI

Connect Linkedin Ads without auth hassles

Introduction

Also integrate Linkedin Ads with

TL;DR

What is Pydantic AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Linkedin Ads MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Adtraction

Bulk Email Checker

Campaign cleaner

Deadline funnel

Frequently asked questions

What are the differences in Tool Router MCP and Linkedin Ads MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Linkedin Ads while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Linkedin Ads.It takes 30 seconds.

Teams ship real agents on Composio