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 LlamaIndex 8 tools — connect in under 2 minutes

Name: LinkedIn Ads
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LinkedIn Ads as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to LinkedIn Ads. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in LinkedIn Ads?"
    )
    print(response)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LlamaIndex agents combine LinkedIn Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from LinkedIn Ads

Why Use LlamaIndex with the LinkedIn Ads MCP Server

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

Data-first architecture: LlamaIndex agents combine LinkedIn Ads tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain LinkedIn Ads tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query LinkedIn Ads, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what LinkedIn Ads tools were called, what data was returned, and how it influenced the final answer

LinkedIn Ads + LlamaIndex Use Cases

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

Hybrid search: combine LinkedIn Ads real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query LinkedIn Ads to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LinkedIn Ads for fresh data

Analytical workflows: chain LinkedIn Ads queries with LlamaIndex's data connectors to build multi-source analytical reports

LinkedIn Ads MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect LinkedIn Ads to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

LinkedIn Ads + LlamaIndex FAQ

Common questions about integrating LinkedIn Ads MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query LinkedIn Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.