How do I get my Pinterest Ads API credentials?

1. Go to **developers.pinterest.com** and log in with your Pinterest Business account. 2. Click **My Apps** → **Create App**. 3. Fill in the app name and description. 4. After creation, copy your **App ID** and **App Secret** from the app dashboard. 5. Generate an **Access Token** by authorizing your ad account. 6. Paste all values below. 💡 You need a **Pinterest Business Account** with an active ads account. Convert a personal account at [business.pinterest.com](https://business.pinterest.com

Can I track shopping ad performance?

Yes. Your AI agent tracks product-level metrics including impressions, clicks, add-to-carts, checkouts, ROAS, and catalog sync health — giving you real-time visibility into your Pinterest shopping campaigns.

What audience targeting is available?

Pinterest supports interest targeting, keyword targeting, demographics (age, gender, location), device targeting, customer lists, website visitors (retargeting), actalike audiences, and shopping behavior targeting.

Is this useful for e-commerce brands?

Absolutely. Pinterest is one of the highest-intent social platforms for shopping — 80% of weekly users have discovered a new brand or product on Pinterest. Your AI agent helps you maximize ROAS across product catalog campaigns.

Pinterest Ads MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Pinterest 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 Pinterest 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

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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 Pinterest Ads. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())

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About Pinterest Ads MCP Server

Connect Pinterest Ads to your AI agent and manage your visual advertising campaigns conversationally.

LlamaIndex agents combine Pinterest 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, ad groups, and promoted pins.
Performance Analytics — Pull impressions, clicks, CTR, CPC, conversions, ROAS, and pin engagement.
Shopping Ads — Monitor product catalog performance, shopping campaign metrics, and catalog sync status.
Audience Insights — Query audience demographics, interests, and keyword-based targeting data.

The Pinterest 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 Pinterest Ads to LlamaIndex via MCP

Follow these steps to integrate the Pinterest 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 Pinterest Ads

Why Use LlamaIndex with the Pinterest Ads MCP Server

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

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

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

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

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

Pinterest Ads + LlamaIndex Use Cases

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

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

Data enrichment: query Pinterest 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 Pinterest Ads for fresh data

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

Pinterest Ads MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Pinterest Ads to LlamaIndex via MCP:

enable_campaign

Enable campaign

get_account_analytics

Get account analytics

get_adgroup_analytics

Get ad group analytics

get_campaign_analytics

Get campaign analytics

list_adgroups

List ad groups

list_ads

List ads/Pins

list_campaigns

List campaigns

pause_campaign

Pause campaign

Example Prompts for Pinterest Ads in LlamaIndex

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

"How are my Pinterest shopping campaigns performing?"

"Which pins have the highest engagement rate?"

"Increase the budget on 'Spring Collection' campaign by 20%."

Troubleshooting Pinterest Ads MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Pinterest Ads + LlamaIndex FAQ

Common questions about integrating Pinterest 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 Pinterest Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.