AppsFlyer (Pull API) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AppsFlyer (Pull API) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AppsFlyer (Pull API) Assistant",
instructions=(
"You help users interact with AppsFlyer (Pull API). "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AppsFlyer (Pull API)"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 7 tools from AppsFlyer (Pull API) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AppsFlyer (Pull API), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the AppsFlyer (Pull API) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 7 tools from AppsFlyer (Pull API)
Why Use OpenAI Agents SDK with the AppsFlyer (Pull API) MCP Server
OpenAI Agents SDK provides unique advantages when paired with AppsFlyer (Pull API) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AppsFlyer (Pull API) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AppsFlyer (Pull API) MCP Server delivers measurable value.
Automated workflows: build agents that query AppsFlyer (Pull API), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AppsFlyer (Pull API), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AppsFlyer (Pull API) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AppsFlyer (Pull API) to resolve tickets, look up records, and update statuses without human intervention
AppsFlyer (Pull API) MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect AppsFlyer (Pull API) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting AppsFlyer (Pull API) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AppsFlyer (Pull API) + OpenAI Agents SDK FAQ
Common questions about integrating AppsFlyer (Pull API) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AppsFlyer (Pull API) 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 AppsFlyer (Pull API) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
