How to Use the AdRoll MCP in LlamaIndex

Q: How do I query AdRoll data using LlamaIndex?

Install llama-index-tools-mcp and configure a BasicMCPClient. Convert the server connection using McpToolSpec and pass it to your FunctionAgent.

Q: Does the AdRoll MCP server support data filtering?

You control exactly what gets indexed. Use the allowedtools filter to restrict the agent to read-only operations like checking ad groups or segments.

Index your AdRoll marketing data with LlamaIndex. Turn ad performance into a searchable knowledge base.

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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.

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Setup AdRoll with LlamaIndex

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Perplexity

RAG for Marketing Reports

Static dashboards force you to hunt for answers. LlamaIndex takes the output from `get_report` and embeds it directly into your vector store. You ask a question, and the engine pulls the exact performance metrics to base its response on. Semantic search changes how you analyze spend. Instead of running SQL queries, your agent retrieves relevant data from `list_campaigns` and synthesizes an answer based on actual account history.

Index AdRoll MCP Server Assets

Managing hundreds of creatives gets messy fast. Hook up `list_ads` to your LlamaIndex pipeline to build a queryable index of every active display ad. Finding the specific banner that drove last week's conversions takes seconds. The same applies to your account structure. Firing `list_advertisables` and `list_adgroups` populates your knowledge base with the entire organizational tree. Your AI client knows exactly where everything lives without guessing.

Context-Aware Audience Strategy

Retargeting works better when you understand the historical context. By indexing the results of `list_segments`, your application maps out audience definitions over time. You query the system to see how specific user cohorts evolved. Pulling specific details requires zero manual digging. The `get_campaign` tool fetches the exact parameters of a past run, which LlamaIndex stores for future reference. When you ask about last quarter's setup, the agent cites the exact configuration.

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")

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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.

Why Choose Vinkius

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Common questions about AdRoll MCP in LlamaIndex

Install `llama-index-tools-mcp` and configure a `BasicMCPClient`. Convert the server connection using `McpToolSpec` and pass it to your `FunctionAgent`.

You trigger the tools to pull the data, and LlamaIndex handles the embedding. The resulting vector index acts as a permanent, searchable memory for your marketing account.

You control exactly what gets indexed. Use the `allowed_tools` filter to restrict the agent to read-only operations like checking ad groups or segments.

It eliminates hallucinated metrics. By basing answers strictly on real API responses, your marketing insights reflect factual account data.

The Vinkius infrastructure relies on zero-trust, ephemeral execution. When your client requests audience lists or conversion stats, the proxy handles the auth and drops the connection immediately after serving the payload.

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