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AdRoll MCP Server for LangChain 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools Framework

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

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({
        "adroll": {
            "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 AdRoll, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
AdRoll
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
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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 AdRoll MCP Server

Connect your AdRoll (NextRoll) account to your AI agent to unlock professional e-commerce marketing and retargeting orchestration. From auditing your advertisable accounts to monitoring real-time campaign performance and managing creative ad assets, your agent handles your advertising ecosystem through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with AdRoll through native MCP adapters. Connect 5 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 and retrieve details for active campaigns across multiple channels (Web, Facebook, etc.)
  • Account Auditing — List your 'Advertisables' (advertiser accounts) and retrieve technical metadata for each
  • Performance Reporting — Retrieve granular statistics on clicks, spend, and conversions to monitor your marketing ROI
  • Creative Asset Oversight — List and audit your ad creatives (banners, videos) to ensure your visual content is optimized
  • Strategy Insights — Quickly identify high-performing strategies and identify areas for budget optimization directly from chat

The AdRoll MCP Server exposes 5 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 AdRoll to LangChain via MCP

Follow these steps to integrate the AdRoll MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 5 tools from AdRoll via MCP

Why Use LangChain with the AdRoll MCP Server

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

01

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

02

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

03

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

04

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

AdRoll + LangChain Use Cases

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

01

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

02

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

03

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

04

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

AdRoll MCP Tools for LangChain (5)

These 5 tools become available when you connect AdRoll to LangChain via MCP:

01

get_campaign_details

Get campaign metadata

02

get_performance_report

Filterable by EID and date. Get performance statistics

03

list_ads

List ad creatives

04

list_advertisables

List advertiser accounts

05

list_campaigns

List active campaigns

Example Prompts for AdRoll in LangChain

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

01

"List all active advertisable accounts in my AdRoll organization."

02

"Show me the performance of my Web Retargeting campaign for the last 7 days."

03

"List all ad creatives for advertisable EID 'AD1234567890'."

Troubleshooting AdRoll MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AdRoll + LangChain FAQ

Common questions about integrating AdRoll MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect AdRoll to LangChain

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.