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

Built by Vinkius GDPR 7 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
AppsFlyer (Pull API)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine AppsFlyer (Pull API) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine AppsFlyer (Pull API) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query AppsFlyer (Pull API), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain AppsFlyer (Pull API) tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

get_account_check

Verify AppsFlyer account connection

02

get_daily_report

Get aggregate daily performance report

03

get_geo_report

Get aggregate performance report by geography

04

get_in_app_events_report

Get in-app events raw data report

05

get_installs_report

Get non-organic installs raw data report

06

get_partners_report

Get aggregate performance report by media source

07

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.

01

"Get the installs report for last week."

02

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

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AppsFlyer (Pull API) + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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.