How to Use the Adjust MCP in LlamaIndex

Q: How does LlamaIndex use the data from the Adjust tools?

LlamaIndex treats the output from tools like getkpireport as documents. It chunks and embeds this data into a vector index, making your live Adjust metrics searchable with natural language.

Q: What's the setup process for Adjust and LlamaIndex?

Install the llama-index-tools-mcp package and point the BasicMCPClient to your Vinkius URL. The McpToolSpec will expose the Adjust tools to your LlamaIndex agent.

Q: How do I tell my LlamaIndex agent to only use the report tool?

When you create your agent, use the allowedtools filter. You can pass it a list containing just the getkpireport tool if that's all you need for a specific task.

Build a RAG app on your live Adjust attribution data using LlamaIndex.

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Create your Vinkius account to connect Adjust 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 Adjust with LlamaIndex

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Turn App Settings into a Knowledge Base

The `get_app_settings` tool pulls your Adjust app configurations. LlamaIndex doesn't just show you the data; it indexes it. Now you can ask natural language questions about your setup, like 'Which of our apps use ad spend tracking?' and get answers based on the actual, indexed settings.

Make KPI Reports Searchable with LlamaIndex

When your agent runs `get_kpi_report`, LlamaIndex can automatically ingest the results into a vector store. Your performance metrics become a queryable resource. This means you can ask things like 'What were our install numbers last Tuesday?' and LlamaIndex will find the answer from the reports it has already indexed from this MCP server.

Index and Retrieve Device History

Use the `inspect_device` tool to pull attribution data for specific devices. LlamaIndex turns these individual lookups into a searchable history. Over time, you build a knowledge base of device-level data. This lets your RAG application answer complex questions about user journeys by cross-referencing multiple indexed API calls.

Setup guide

Set up Adjust 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 Adjust 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 Adjust tools.",
)
response = await agent.run("List recent Adjust data")

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Common questions about Adjust MCP in LlamaIndex

LlamaIndex treats the output from tools like `get_kpi_report` as documents. It chunks and embeds this data into a vector index, making your live Adjust metrics searchable with natural language.

Yes, that's the whole point. You can index your Adjust KPI data from this MCP server alongside PDFs or other data sources. Your queries will then run across everything at once.

Install the `llama-index-tools-mcp` package and point the `BasicMCPClient` to your Vinkius URL. The `McpToolSpec` will expose the Adjust tools to your LlamaIndex agent.

When you create your agent, use the `allowed_tools` filter. You can pass it a list containing just the `get_kpi_report` tool if that's all you need for a specific task.

The Adjust MCP server itself is stateless. Your device attribution data and KPI reports are passed to your LlamaIndex application, which then indexes them. You control the security of your own vector database where the indexed data is stored.

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