How do I get my LinkedIn Ads API credentials?

1. Go to **developer.linkedin.com** and log in with your LinkedIn account. 2. Click **My Apps** → **Create App**. 3. Fill in your app name, company LinkedIn page, and logo. 4. Under the **Products** tab, request access to **Marketing Developer Platform**. 5. After approval, go to the **Auth** tab and copy your **Client ID** and **Client Secret**. 6. Paste both values below. ⚠️ Access to the Marketing API requires approval from LinkedIn (typically 1-5 business days).

Can I download lead gen form submissions?

Yes. Your AI agent can pull all lead gen form submissions including names, emails, job titles, and custom fields — ready to sync to your CRM or outreach tool.

What targeting criteria can I use?

LinkedIn offers the most precise B2B targeting: job title, job function, seniority, company name, company size, industry, skills, education, and matched audiences (ABM lists, retargeting, lookalikes).

Can I track cost-per-lead (CPL)?

Yes. Your AI agent calculates CPL by dividing total spend by leads generated — broken down by campaign, ad group, or creative. Essential for B2B marketers optimizing demand gen budgets.

LinkedIn Ads MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: LinkedIn Ads
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect LinkedIn Ads through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "linkedin-ads-1": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using LinkedIn Ads, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LinkedIn Ads MCP Server

Connect LinkedIn Ads to your AI agent and manage your B2B advertising campaigns conversationally.

LangChain's ecosystem of 500+ components combines seamlessly with LinkedIn Ads through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Campaign Management — List, create, update, and pause campaigns, campaign groups, and creatives.
B2B Analytics — Pull impressions, clicks, CTR, CPC, leads, and cost-per-lead metrics.
Audience Targeting — Query targeting by job title, company, industry, seniority, and matched audiences.
Lead Gen Forms — Access lead gen form submissions and sync leads to your CRM.

The LinkedIn Ads MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LinkedIn Ads to LangChain via MCP

Follow these steps to integrate the LinkedIn Ads MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from LinkedIn Ads via MCP

Why Use LangChain with the LinkedIn Ads MCP Server

LangChain provides unique advantages when paired with LinkedIn Ads through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine LinkedIn Ads MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across LinkedIn Ads queries for multi-turn workflows

LinkedIn Ads + LangChain Use Cases

Practical scenarios where LangChain combined with the LinkedIn Ads MCP Server delivers measurable value.

RAG with live data: combine LinkedIn Ads tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query LinkedIn Ads, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain LinkedIn Ads tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every LinkedIn Ads tool call, measure latency, and optimize your agent's performance

LinkedIn Ads MCP Tools for LangChain (8)

These 8 tools become available when you connect LinkedIn Ads to LangChain via MCP:

enable_campaign

Enable campaign

get_account_analytics

Get account analytics

get_account_info

Get ad account info

get_campaign_analytics

Get campaign analytics

list_campaign_groups

List campaign groups

list_campaigns

List campaigns

list_creatives

List ad creatives

pause_campaign

Pause campaign

Example Prompts for LinkedIn Ads in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with LinkedIn Ads immediately.

"How are my LinkedIn campaigns performing this month?"

"Download all leads from my 'CTO Retargeting' campaign."

"Increase the daily budget on 'Brand Awareness' campaign to $200."

Troubleshooting LinkedIn Ads MCP Server with LangChain

Common issues when connecting LinkedIn Ads to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

LinkedIn Ads + LangChain FAQ

Common questions about integrating LinkedIn Ads MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.