How to Use the AdRoll MCP in LangChain

Q: How do I connect AdRoll to LangChain?

Install the langchain-mcp-adapters package. Pass your Vinkius endpoint to MultiServerMCPClient and hand the resulting tools to your ReAct agent.

Q: Can a LangChain agent read my AdRoll performance reports?

Yes. The agent uses the getreport tool to pull JSON metrics. It parses the return payload and feeds those numbers into your downstream chains.

Build multi-step marketing chains with AdRoll and LangChain. Connect ad performance directly to your reasoning agents.

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Connect AdRoll MCP to LangChain

Create your Vinkius account to connect AdRoll to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AdRoll with LangChain

Ask AI about this MCP

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Perplexity

Chain AdRoll MCP Server Data

Raw ad data drives your ReAct agents. Passing `get_report` output into an MCP pipeline lets the system parse JSON metrics and decide what happens next. A sudden spike in cost-per-click triggers an immediate reaction. You control the execution flow. A tool call to `list_campaigns` pulls active retargeting runs, feeding directly into a prompt template. LangSmith tracks the token usage and latency for every API hit.

Agent-Driven Audience Analysis

Stop manually pulling segment lists. Your LangChain agent can call `list_segments` and `list_advertisables` to map out exactly who is seeing your display ads. The agent evaluates the audience overlap and suggests new targeting paths. Building a custom marketing analyst takes minutes. Give your agent the `list_adgroups` tool, and it will iterate through your entire account structure. It figures out the hierarchy without you writing a single loop.

Automated Campaign Audits

Combine database lookups with live marketing stats. Your chain grabs internal sales numbers, then executes `get_campaign` to pull the matching AdRoll budget. The agent compares the two and flags discrepancies. Complex reporting becomes a single function call. Give the agent access to `list_ads`, and it will cross-reference creative assets with performance metrics. You get a formatted summary straight out of the final chain node.

Setup guide

Set up AdRoll MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes AdRoll tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "adroll-alternative-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent AdRoll transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AdRoll. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AdRoll MCP in LangChain

Install the `langchain-mcp-adapters` package. Pass your Vinkius endpoint to `MultiServerMCPClient` and hand the resulting tools to your ReAct agent.

Yes. The agent uses the `get_report` tool to pull JSON metrics. It parses the return payload and feeds those numbers into your downstream chains.

It turns static ad data into actionable inputs for your LLM workflows. You stop writing custom API wrappers and let the agent handle the schema.

Every execution gets logged automatically. You see the exact payload sent to the marketing API and the raw response coming back.

Vinkius runs the server in an isolated V8 sandbox. We proxy the requests to pull your audience segments and ad groups, but nothing persists. Your token simply authenticates the ephemeral session.

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