How to Use the AppsFlyer (Pull API) MCP in LlamaIndex

Q: Can I ask my LlamaIndex agent about specific media sources using the AppsFlyer (Pull API) tools?

Absolutely. Your agent can call getpartnersreport, index the results, and then answer questions like "which media source had the highest cost yesterday?" by searching over the data it just fetched.

Turn your AppsFlyer data into a queryable knowledge base with LlamaIndex. Ask questions, get answers grounded in real metrics.

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Connect AppsFlyer (Pull API) MCP to LlamaIndex

Create your Vinkius account to connect AppsFlyer (Pull API) 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 AppsFlyer (Pull API) with LlamaIndex

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Index Your Campaign Reports

Use the AppsFlyer (Pull API) tools to fetch your marketing data. The `get_daily_report` and `get_partners_report` tools don't just return data—LlamaIndex ingests their output directly into a vector index. Now you can ask natural language questions like, "how did my campaigns in Germany perform last week?" Your agent queries the indexed data from past `get_geo_report` calls to give you an answer based on facts, not a guess.

Build RAG on Top of Raw Install Data with LlamaIndex

Pull raw data using `get_installs_report` and `get_in_app_events_report`. LlamaIndex can chunk and index these detailed logs, turning thousands of rows of raw attribution data into a searchable resource for your agent. This lets you investigate complex issues with simple questions. Ask "show me installs from media source X that didn't trigger the 'purchase' event" and your agent can synthesize an answer by querying the indexed raw data. It connects the dots for you.

Create a Historical Performance Index

This isn't just for one-off queries. Schedule your LlamaIndex agent to run `get_daily_report` and `get_uninstalls_report` every day. Each report's output is added to your knowledge base via this MCP server. Over time, you build a rich, historical index of your app's performance. You can then ask your agent to compare Q1 performance to Q2, or track uninstall rates over six months, and get answers grounded in your actual AppsFlyer data history.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppsFlyer. 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.

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Common questions about AppsFlyer (Pull API) MCP in LlamaIndex

LlamaIndex treats the output of each tool call—like a daily performance report—as a document. It then embeds and indexes these documents into a vector store, creating a searchable knowledge base from your live AppsFlyer data.

Absolutely. Your agent can call `get_partners_report`, index the results, and then answer questions like "which media source had the highest cost yesterday?" by searching over the data it just fetched.

It's a few lines of code. You install the LlamaIndex tools package, instantiate the MCP client with your Vinkius URL, and then generate the tool list. Pass those tools to your agent, and it's ready to query and index your AppsFlyer data.

You get structured data. The tools return JSON objects or lists of objects that LlamaIndex can easily parse and index. This preserves the relationships in your data for more accurate RAG.

The MCP server fetches your performance reports and raw install data on demand. This data is passed to your LlamaIndex application for indexing and then immediately discarded from the Vinkius ephemeral environment. Vinkius never permanently stores your report contents.

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