AdButler MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Adbutler Status, Get Advertiser, Get Campaign, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AdButler 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 AdButler app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 10 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 AdButler. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in AdButler?"
)
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 AdButler MCP Server
Connect your AdButler account to any AI agent and take full control of your ad server orchestration and automated display advertising through natural conversation.
LlamaIndex agents combine AdButler tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 & Ad Portfolio Orchestration — List and manage your entire high-fidelity portfolio of advertisers and campaigns programmatically, retrieving detailed technical metadata
- Banner & Creative Intelligence — Programmatically retrieve directories of banners and access complete high-fidelity asset metadata to coordinate your organizational broadcasting
- Performance Architecture Monitoring — Access real-time status updates for active banners and track impression/click metrics directly through your agent
- Metadata Management — Programmatically retrieve high-fidelity zone IDs and publisher metadata to maintain a perfectly coordinated ad inventory record
- Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling
The AdButler MCP Server exposes 10 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 10 AdButler tools available for LlamaIndex
When LlamaIndex connects to AdButler through Vinkius, your AI agent gets direct access to every tool listed below — spanning ad-server, campaign-management, impression-tracking, 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.
Verify AdButler API connectivity
Get advertiser details
Get campaign details
Get ad serving statistics
List all advertisers
List ad items in a campaign
List all campaigns
List all placements
List all publishers
List all ad zones
Connect AdButler to LlamaIndex via MCP
Follow these steps to wire AdButler 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 AdButler MCP Server
LlamaIndex provides unique advantages when paired with AdButler through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AdButler tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AdButler tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AdButler, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AdButler tools were called, what data was returned, and how it influenced the final answer
AdButler + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AdButler MCP Server delivers measurable value.
Hybrid search: combine AdButler real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AdButler 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 AdButler for fresh data
Analytical workflows: chain AdButler queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for AdButler in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AdButler immediately.
"List all active advertisers in my AdButler account."
"Show the performance for 'Banner A' from yesterday."
"Check for any campaigns expiring this week."
Troubleshooting AdButler MCP Server with LlamaIndex
Common issues when connecting AdButler to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdButler + LlamaIndex FAQ
Common questions about integrating AdButler MCP Server with LlamaIndex.