How do I get my Appfigures Client Key and Personal Access Token?

Go to the [Appfigures Developer Settings](https://appfigures.com/developers/keys) to create an API Client Key and generate a Personal Access Token.

Can I track competitor apps with this server?

Yes, you can use the `search_products` tool to find and monitor any app across all supported stores, not just your own.

Which app stores are supported?

Appfigures supports iOS, Google Play, Amazon Appstore, Windows Store, and many others. If the store is linked to your Appfigures account, you can access its data.

Appfigures MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Appfigures
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Appfigures through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "appfigures": {
            "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 Appfigures, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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 Appfigures MCP Server

The Appfigures MCP Server provides your AI agent with direct access to your mobile app intelligence and store data. Gain instant insights into your app's performance across iOS, Google Play, and other major stores using simple natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Appfigures through native MCP adapters. Connect 11 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

Product Management — List and search for your apps and those of your competitors across all major app stores.
Sales & Revenue Reporting — Get detailed reports on downloads, updates, returns, and net proceeds.
Subscription Analytics — Monitor your subscription health, churn, and active subscriber metrics.
Review Analysis — Retrieve and analyze user feedback to identify bugs, feature requests, and sentiment.
Rankings & Visibility — Track your daily category and keyword rankings to optimize your ASO strategy.
Competitive Intelligence — Search and monitor any app on the market to stay ahead of the competition.

The Appfigures MCP Server exposes 11 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 Appfigures to LangChain via MCP

Follow these steps to integrate the Appfigures 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 11 tools from Appfigures via MCP

Why Use LangChain with the Appfigures MCP Server

LangChain provides unique advantages when paired with Appfigures through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Appfigures 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 Appfigures queries for multi-turn workflows

Appfigures + LangChain Use Cases

Practical scenarios where LangChain combined with the Appfigures MCP Server delivers measurable value.

RAG with live data: combine Appfigures tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Appfigures, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Appfigures tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Appfigures tool call, measure latency, and optimize your agent's performance

Appfigures MCP Tools for LangChain (11)

These 11 tools become available when you connect Appfigures to LangChain via MCP:

get_account_check

Verify Appfigures account connection

get_external_accounts

List linked store accounts

get_ranks

Get daily category and keyword rankings

get_revenue_report

Get revenue and proceeds data

get_sales_report

Get sales data (downloads, updates, returns)

get_subscriptions_report

Get subscription metrics (active, churn, etc.)

get_user_info

Retrieve authenticated user information

list_featured

Track when apps are featured on app stores

list_my_products

List all mobile apps in your Appfigures account

list_reviews

List app reviews for your products

search_products

Search for any mobile app across all supported stores

Example Prompts for Appfigures in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Appfigures immediately.

"Show me the sales report for the last 30 days."

"What are the latest reviews for my iOS app?"

"Search for the 'Instagram' app on the App Store."

Troubleshooting Appfigures MCP Server with LangChain

Common issues when connecting Appfigures to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Appfigures + LangChain FAQ

Common questions about integrating Appfigures MCP Server with LangChain.

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.

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.