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 Pydantic AI 7 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 7 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AppsFlyer (Pull API) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to AppsFlyer (Pull API) "
            "(7 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 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.

Pydantic AI validates every AppsFlyer (Pull API) tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the AppsFlyer (Pull API) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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) with type-safe schemas

Why Use Pydantic AI with the AppsFlyer (Pull API) MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AppsFlyer (Pull API) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your AppsFlyer (Pull API) connection logic from agent behavior for testable, maintainable code

AppsFlyer (Pull API) + Pydantic AI Use Cases

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

Type-safe data pipelines: query AppsFlyer (Pull API) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple AppsFlyer (Pull API) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query AppsFlyer (Pull API) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock AppsFlyer (Pull API) responses and write comprehensive agent tests

AppsFlyer (Pull API) MCP Tools for Pydantic AI (7)

These 7 tools become available when you connect AppsFlyer (Pull API) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AppsFlyer (Pull API) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AppsFlyer (Pull API) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.