AppsFlyer (Pull API) MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AppsFlyer (Pull API) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"appsflyer-pull-api": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using AppsFlyer (Pull API), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with AppsFlyer (Pull API) through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the AppsFlyer (Pull API) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from AppsFlyer (Pull API) via MCP
Why Use LangChain with the AppsFlyer (Pull API) MCP Server
LangChain provides unique advantages when paired with AppsFlyer (Pull API) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AppsFlyer (Pull API) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across AppsFlyer (Pull API) queries for multi-turn workflows
AppsFlyer (Pull API) + LangChain Use Cases
Practical scenarios where LangChain combined with the AppsFlyer (Pull API) MCP Server delivers measurable value.
RAG with live data: combine AppsFlyer (Pull API) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AppsFlyer (Pull API), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AppsFlyer (Pull API) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AppsFlyer (Pull API) tool call, measure latency, and optimize your agent's performance
AppsFlyer (Pull API) MCP Tools for LangChain (7)
These 7 tools become available when you connect AppsFlyer (Pull API) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting AppsFlyer (Pull API) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAppsFlyer (Pull API) + LangChain FAQ
Common questions about integrating AppsFlyer (Pull API) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
