Moloco MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Moloco 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Moloco. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Moloco?"
)
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 Moloco MCP Server
Connect your Moloco Ads account to your AI agent and manage your programmatic advertising campaigns through natural conversation.
LlamaIndex agents combine Moloco 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
- AdAccount Overview — List all advertising accounts and view their high-level status and balances.
- Campaign Tracking — Fetch all campaigns for an account, monitor active ones, and update statuses (ENABLED/PAUSED).
- AdGroup & Creative Insights — List ad groups and creative asset groups to understand your target segments and visuals.
- Performance Reporting — Generate analytics reports for specific time ranges to track ROI and engagement.
- Conversion Tracking — View recorded conversion events and monitor attribution tracking links.
- Deep Inspection — Retrieve detailed configuration and metadata for specific campaigns.
The Moloco 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.
How to Connect Moloco to LlamaIndex via MCP
Follow these steps to integrate the Moloco MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Moloco
Why Use LlamaIndex with the Moloco MCP Server
LlamaIndex provides unique advantages when paired with Moloco through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Moloco tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Moloco tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Moloco, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Moloco tools were called, what data was returned, and how it influenced the final answer
Moloco + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Moloco MCP Server delivers measurable value.
Hybrid search: combine Moloco real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Moloco 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 Moloco for fresh data
Analytical workflows: chain Moloco queries with LlamaIndex's data connectors to build multi-source analytical reports
Moloco MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Moloco to LlamaIndex via MCP:
get_account_balance
Check AdAccount balance
get_analytics_report
Get performance analytics report
get_campaign
Get campaign details
list_ad_accounts
List Moloco AdAccounts
list_ad_groups
List ad groups in a campaign
list_campaigns
List campaigns in an AdAccount
list_conversions
List recorded conversion events
list_creative_groups
List creative asset groups
list_tracking_links
List attribution tracking links
update_campaign_status
g., ENABLED, PAUSED). Update campaign status
Example Prompts for Moloco in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Moloco immediately.
"List all active campaigns in my primary AdAccount."
"Pause the campaign with ID cp_98765."
"Check the balance for AdAccount AC-12345."
Troubleshooting Moloco MCP Server with LlamaIndex
Common issues when connecting Moloco to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMoloco + LlamaIndex FAQ
Common questions about integrating Moloco MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Moloco with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moloco to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.