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 LangChain 10 tools — connect in under 2 minutes

Name: Pinterest Ads
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Pinterest 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({
        "pinterest-ads": {
            "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 Pinterest 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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Pinterest Ads through native MCP adapters. Connect 10 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 & 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 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 Pinterest Ads to LangChain via MCP

Follow these steps to integrate the Pinterest 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 10 tools from Pinterest Ads via MCP

Why Use LangChain with the Pinterest Ads MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Pinterest 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 Pinterest Ads queries for multi-turn workflows

Pinterest Ads + LangChain Use Cases

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

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

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

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

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

Pinterest Ads MCP Tools for LangChain (10)

These 10 tools become available when you connect Pinterest Ads to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pinterest Ads + LangChain FAQ

Common questions about integrating Pinterest 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.