How do I find my Pinterest Ad Account ID?

In your Pinterest Business account, go to the Ads Manager. Your Ad Account ID is usually visible in the URL or in the account settings section.

Can I see performance metrics for specific dates?

Yes! Use the `get_pinterest_analytics` tool and provide the `start_date` and `end_date` parameters along with the columns (metrics) you wish to retrieve.

What metrics can I retrieve?

Common metrics include SPEND_IN_DOLLAR, IMPRESSION, CLICKTHROUGH, REPIN, and TOTAL_CONCLICK. You can provide multiple metrics separated by commas.

Pinterest Ads MCP Server for LlamaIndex 10 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 10 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

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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 10 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 your Pinterest Advertising account to any AI agent and take full control of your visual discovery marketing through natural conversation.

LlamaIndex agents combine Pinterest Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 & Ad Group Oversight — List all campaigns and ad groups to maintain a clear view of your advertising structure.
Analytics Tracking — Fetch detailed performance metrics for specific date ranges to monitor your ROI.
Content Management — List boards and pins to verify your creative assets and organic presence.
Audience Auditing — List saved audiences and product catalogs to ensure your targeting is optimal.
Keyword Analysis — List keywords associated with specific ad groups to refine your search strategy.

The Pinterest Ads MCP Server exposes 10 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 10 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 (10)

These 10 tools become available when you connect Pinterest Ads to LlamaIndex via MCP:

get_pinterest_analytics

Get advertising analytics

get_pinterest_campaign

Get details for a specific campaign

list_pinterest_ad_groups

List ad groups

list_pinterest_ads

List Pinterest ads

list_pinterest_audiences

List saved audiences

list_pinterest_boards

List Pinterest boards

list_pinterest_campaigns

List Pinterest ad campaigns

list_pinterest_catalogs

List product catalogs

list_pinterest_keywords

List keywords for an ad group

list_pinterest_pins

List Pinterest pins

Example Prompts for Pinterest Ads in LlamaIndex

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

"List all my active Pinterest ad campaigns."

"How much did we spend on Pinterest ads between 2026-10-01 and 2026-10-15?"

"Show me the pins from my 'Home Decor' board."

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.