How to Use the Moloco MCP in LlamaIndex

Index your live Moloco performance metrics into LlamaIndex for grounded, data-driven AI responses.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Moloco MCP to LlamaIndex

Create your Vinkius account to connect Moloco 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 Moloco with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Grounded Ad Data Indexing

Convert output from `get_analytics_report` into a searchable vector index. Your agent uses this historical data to answer questions instead of guessing. This creates a knowledge base built on your actual account performance. You get answers rooted in real numbers rather than generic observations.

Query Campaigns with LlamaIndex

Ask questions about your account structure using `list_campaigns` and `list_ad_groups`. The system retrieves the exact campaign details you need for your RAG pipeline. This allows for complex queries across your entire ad account. You can pinpoint specific performance drivers by searching through your indexed data.

Unified Data Access

Combine your live API data with your existing documents into a single searchable index. The MCP Server acts as the bridge for real-time information. This gives your agent a complete view of your marketing assets and performance. It makes querying across different data types simple and fast.

Setup guide

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

You initialize the client, fetch the tool list, and then integrate those tools into your agent's function set. The agent then queries the API as part of its retrieval process.

Absolutely. By passing the tools to your agent, you allow it to fetch campaign lists and details dynamically when answering your questions.

Data is retrieved on-demand and passed to your agent for indexing. No records are persisted on our end, keeping your account information private and secure.

It does. You just add the MCP tool specification to your agent, and it gains the ability to query your live advertising data alongside your other sources.

Your account balance is only accessed when you explicitly call the `get_account_balance` tool. The connection is ephemeral and handled through a secure token, ensuring that sensitive financial values are not exposed.

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