Liftoff MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Liftoff 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 Liftoff. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Liftoff?"
)
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 Liftoff MCP Server
Connect your Liftoff (formerly Vungle) advertising account to any AI agent to automate your mobile marketing analytics and reporting. This MCP server enables your agent to list campaigns, request detailed performance reports, and monitor spend in real-time directly from natural language interfaces.
LlamaIndex agents combine Liftoff 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 Oversight — List all apps, campaigns, and creative assets to map performance IDs to readable names
- Automated Reporting — Request asynchronous performance reports (v1) for deep dives into historical data
- Real-time Spend — Query synchronous spend and install metrics (v2) for immediate operational awareness
- Lifecycle Tracking — Monitor the status of report generation and download completed results effortlessly
- Dimension Filtering — Filter your data by app, campaign, country, and platform to identify growth opportunities
The Liftoff 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.
How to Connect Liftoff to LlamaIndex via MCP
Follow these steps to integrate the Liftoff 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 7 tools from Liftoff
Why Use LlamaIndex with the Liftoff MCP Server
LlamaIndex provides unique advantages when paired with Liftoff through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Liftoff tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Liftoff tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Liftoff, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Liftoff tools were called, what data was returned, and how it influenced the final answer
Liftoff + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Liftoff MCP Server delivers measurable value.
Hybrid search: combine Liftoff real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Liftoff 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 Liftoff for fresh data
Analytical workflows: chain Liftoff queries with LlamaIndex's data connectors to build multi-source analytical reports
Liftoff MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Liftoff to LlamaIndex via MCP:
download_report_results
Retrieve the data for a completed report
get_report_status
Check the status of a requested report
get_spend_metrics
Get a synchronous spend and performance report (v2)
list_liftoff_apps
List all applications in your Liftoff account
list_liftoff_campaigns
List all advertising campaigns
list_liftoff_creatives
List all creative assets
request_performance_report
Requires start and end dates. Initialize a performance report request (v1)
Example Prompts for Liftoff in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Liftoff immediately.
"List all active advertising campaigns in Liftoff."
"Show recent spend and installs for campaign ID 'camp-123'."
"Request a performance report for the month of July in JSON format."
Troubleshooting Liftoff MCP Server with LlamaIndex
Common issues when connecting Liftoff to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLiftoff + LlamaIndex FAQ
Common questions about integrating Liftoff 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 Liftoff 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 Liftoff to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.