How do I find my AppsFlyer API Token V2?

Log in to AppsFlyer as an Admin, go to **Security Center** from the account menu, and navigate to **AppsFlyer API tokens**. There you can manage and copy your V2 token (JWT).

The `appId` is the unique identifier for your app in the store. For iOS, it's usually `id` followed by numbers (e.g., `id123456789`). For Android, it's the package name (e.g., `com.example.app`).

Is there a limit on the number of rows returned?

Yes, AppsFlyer Pull API limits raw data reports to 200,000 rows. If your data exceeds this, try narrowing the date range of your request.

AppsFlyer (Pull API) MCP Server for LlamaIndex 7 tools — connect in under 2 minutes

Name: AppsFlyer (Pull API)
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AppsFlyer (Pull API) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 AppsFlyer (Pull API). "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in AppsFlyer (Pull API)?"
    )
    print(response)

asyncio.run(main())

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About AppsFlyer (Pull API) MCP Server

The AppsFlyer Pull API MCP Server provides your AI agent with direct access to your mobile attribution and marketing analytics data. Effortlessly retrieve raw reports for installs and in-app events, or get aggregate performance metrics by day, geography, or media source using natural language.

LlamaIndex agents combine AppsFlyer (Pull API) 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.

Key Features

Raw Data Retrieval — Download non-organic installs, in-app events, and uninstalls reports for granular analysis.
Aggregate Reporting — Access high-level performance summaries by partner (media source), geography, or day.
Customizable Timeframes — Specify exact start and end dates for any report to focus on specific campaigns or periods.
CSV Output Support — Reports are delivered in structured CSV format, allowing for further data processing or direct review.
Security & Privacy — Uses AppsFlyer API Token V2 (JWT) for secure, authenticated access to your data.

The AppsFlyer (Pull API) 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 AppsFlyer (Pull API) to LlamaIndex via MCP

Follow these steps to integrate the AppsFlyer (Pull API) 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 AppsFlyer (Pull API)

Why Use LlamaIndex with the AppsFlyer (Pull API) MCP Server

LlamaIndex provides unique advantages when paired with AppsFlyer (Pull API) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine AppsFlyer (Pull API) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain AppsFlyer (Pull API) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query AppsFlyer (Pull API), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what AppsFlyer (Pull API) tools were called, what data was returned, and how it influenced the final answer

AppsFlyer (Pull API) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the AppsFlyer (Pull API) MCP Server delivers measurable value.

Hybrid search: combine AppsFlyer (Pull API) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query AppsFlyer (Pull API) 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 AppsFlyer (Pull API) for fresh data

Analytical workflows: chain AppsFlyer (Pull API) queries with LlamaIndex's data connectors to build multi-source analytical reports

AppsFlyer (Pull API) MCP Tools for LlamaIndex (7)

These 7 tools become available when you connect AppsFlyer (Pull API) to LlamaIndex via MCP:

get_account_check

Verify AppsFlyer account connection

get_daily_report

Get aggregate daily performance report

get_geo_report

Get aggregate performance report by geography

get_in_app_events_report

Get in-app events raw data report

get_installs_report

Get non-organic installs raw data report

get_partners_report

Get aggregate performance report by media source

get_uninstalls_report

Get uninstalls raw data report

Example Prompts for AppsFlyer (Pull API) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with AppsFlyer (Pull API) immediately.

"Get the installs report for last week."

"Show me the aggregate daily performance for February 2024."

"Retrieve in-app events data for today."

Troubleshooting AppsFlyer (Pull API) MCP Server with LlamaIndex

Common issues when connecting AppsFlyer (Pull API) to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

AppsFlyer (Pull API) + LlamaIndex FAQ

Common questions about integrating AppsFlyer (Pull API) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query AppsFlyer (Pull API) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.