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 CrewAI 11 tools — connect in under 2 minutes

Name: Appfigures
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Appfigures through Vinkius, pass the Edge URL in the `mcps` parameter and every Appfigures tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Appfigures Specialist",
    goal="Help users interact with Appfigures effectively",
    backstory=(
        "You are an expert at leveraging Appfigures tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Appfigures "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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 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.

When paired with CrewAI, Appfigures becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Appfigures tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Appfigures MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Appfigures

Why Use CrewAI with the Appfigures MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Appfigures through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Appfigures + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Appfigures for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Appfigures, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Appfigures tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Appfigures against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Appfigures MCP Tools for CrewAI (11)

These 11 tools become available when you connect Appfigures to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Appfigures + CrewAI FAQ

Common questions about integrating Appfigures MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.