How to Use the AdButler MCP in LlamaIndex

Q: Can LlamaIndex query my AdButler stats?

It can. By indexing the output of getstats, your agent can answer questions about your ad performance using the data it retrieved.

Index your live AdButler campaign data into LlamaIndex for semantic search and grounded answers.

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Connect AdButler MCP to LlamaIndex

Create your Vinkius account to connect AdButler 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 AdButler with LlamaIndex

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Index AdButler data for LlamaIndex

The server fetches `list_banners` and `list_placements` then pushes the results into your vector store. Your agent now searches your actual ad inventory instead of hallucinating details. This creates a searchable knowledge base. You can ask your agent about specific zone performance and get answers based on the latest data.

Search campaign history

Your agent uses `get_stats` to pull data and indexes it for long-term tracking. You query the index to see how your metrics have shifted over time. It removes the guesswork. You get clear, grounded information that reflects exactly what is happening in your account right now.

Filter AdButler tools

You decide which tools the agent can use by applying an allowed_tools filter. This limits the agent to only the data you want it to see. It keeps your index focused. You only store relevant details from your publishers and advertisers, keeping your search results fast and clean.

Setup guide

Set up AdButler 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 AdButler 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 AdButler tools.",
)
response = await agent.run("List recent AdButler 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 AdButler. 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 AdButler MCP in LlamaIndex

Use the BasicMCPClient to point at the server URL and convert the tools using McpToolSpec. Once set up, your FunctionAgent can interact with your account data.

It can. By indexing the output of `get_stats`, your agent can answer questions about your ad performance using the data it retrieved.

It does if you index the tool outputs into a vector store. This lets you ask natural language questions about your banners and zones.

Trigger the tool calls periodically to refresh your knowledge base. Your agent pulls the latest records and stores them for current analysis.

We keep your advertiser IDs, impression counts, and zone names private. Data flows through an encrypted transport and is never stored on our servers.

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