How to Use the AdRoll MCP in LlamaIndex

Q: How do I load AdRoll tools into LlamaIndex?

Run pip install llama-index-tools-mcp. You instantiate a BasicMCPClient with your Vinkius URL, wrap it in McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex query AdRoll performance reports?

Yes. The framework executes getperformancereport and indexes the resulting metrics. You can then ask natural language questions about your cost per acquisition.

Q: Does LlamaIndex store the AdRoll campaign metadata?

It chunks and embeds the JSON responses from listcampaigns into your chosen vector database. This turns raw API outputs into a persistent, searchable knowledge graph.

Q: Can I filter which marketing tools the agent accesses?

You use the allowedtools parameter when setting up the MCP client. This restricts the agent to reading statistics without exposing broader account details.

Index your AdRoll campaign data into LlamaIndex vector stores to query e-commerce marketing performance.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AdRoll MCP to LlamaIndex

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

GDPR Free for Subscribers

Setup AdRoll with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

LlamaIndex MCP Server Integration

`list_advertisables` grabs your active advertiser accounts and loads them straight into your document store. Your LlamaIndex application converts these account structures into searchable embeddings. You stop guessing which account handles which product line. When you ask your agent about Q3 spending, it runs a semantic search against the indexed API responses rather than relying on outdated training data.

Ground Answers in Live Metrics

`get_performance_report` extracts precise click and conversion statistics based on EID dates. The framework chunks this statistical output and adds it to your RAG pipeline. Your agent now answers questions using hard numbers. Instead of hallucinating a return on ad spend, it retrieves the exact mathematical breakdown from yesterday's e-commerce traffic.

Catalog Ad Creatives Automatically

`list_ads` pulls every active banner and video asset currently running across your networks. LlamaIndex indexes the metadata, format types, and associated campaign IDs. `get_campaign_details` provides the structural context for those ads. You query your knowledge base to find out exactly which creatives are tied to your holiday retargeting push.

Setup guide

Set up AdRoll MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all AdRoll MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to AdRoll tools.",
)
response = await agent.run("List recent AdRoll data")

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AdRoll now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AdRoll MCP in LlamaIndex

Run `pip install llama-index-tools-mcp`. You instantiate a `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. The framework executes `get_performance_report` and indexes the resulting metrics. You can then ask natural language questions about your cost per acquisition.

It chunks and embeds the JSON responses from `list_campaigns` into your chosen vector database. This turns raw API outputs into a persistent, searchable knowledge graph.

You use the `allowed_tools` parameter when setting up the MCP client. This restricts the agent to reading statistics without exposing broader account details.

Your campaign IDs, click-through rates, and EID parameters live inside an ephemeral V8 Isolate Sandbox. Vinkius manages the auth layer so your client only needs one endpoint token, guaranteeing zero-trust isolation for your e-commerce data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript