AdRoll MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Get Campaign, Get Report, List Adgroups, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AdRoll as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The AdRoll app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to AdRoll. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in AdRoll?"
)
print(response)
asyncio.run(main())
* 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 account to any AI agent and take full control of your digital advertising operations and retargeting workflows through natural conversation.
LlamaIndex agents combine AdRoll tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Campaign Orchestration — List and manage all your advertising campaigns programmatically, retrieving detailed budget settings and high-fidelity operational status in real-time
- Ad Group & Creative Intelligence — Access your complete directory of ad groups and creative assets to coordinate your visual marketing strategy across multiple channels
- Performance Reporting — Programmatically retrieve real-time metrics including clicks, impressions, and high-fidelity spend data to optimize your ROI directly through your agent
- Audience Segmentation — Access and manage your retargeting segments to ensure perfectly coordinated audience targeting and high-fidelity personalized experiences
- Infrastructure Monitoring — Access advertisable profile metadata and verify account-level settings directly through your agent for instant operational reporting
The AdRoll MCP Server exposes 7 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 7 AdRoll tools available for LlamaIndex
When LlamaIndex connects to AdRoll through Vinkius, your AI agent gets direct access to every tool listed below — spanning retargeting, performance-marketing, ad-campaigns, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get campaign details
Pass report criteria as a JSON string. Get performance report
List ad groups for a campaign
List all ads for an advertisable
List all advertisable profiles
List campaigns for an advertisable
List audience segments
Connect AdRoll to LlamaIndex via MCP
Follow these steps to wire AdRoll into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the AdRoll MCP Server
LlamaIndex provides unique advantages when paired with AdRoll through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AdRoll tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AdRoll tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AdRoll, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AdRoll tools were called, what data was returned, and how it influenced the final answer
AdRoll + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AdRoll MCP Server delivers measurable value.
Hybrid search: combine AdRoll real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AdRoll to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AdRoll for fresh data
Analytical workflows: chain AdRoll queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AdRoll in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AdRoll immediately.
"List all my active advertising campaigns for profil EID '123'."
"Show the performance report (clicks and spend) for last week."
"List the audience segments for advertisable '123'."
Troubleshooting AdRoll MCP Server with LlamaIndex
Common issues when connecting AdRoll to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdRoll + LlamaIndex FAQ
Common questions about integrating AdRoll MCP Server with LlamaIndex.