Appfigures MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Appfigures as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="appfigures_agent",
instruction=(
"You help users interact with Appfigures "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Appfigures as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Appfigures MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 11 tools from Appfigures via MCP
Why Use Google ADK with the Appfigures MCP Server
Google ADK provides unique advantages when paired with Appfigures through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Appfigures
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Appfigures tools with BigQuery, Vertex AI, and Cloud Functions
Appfigures + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Appfigures MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Appfigures and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Appfigures tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Appfigures regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Appfigures
Appfigures MCP Tools for Google ADK (11)
These 11 tools become available when you connect Appfigures to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Appfigures to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAppfigures + Google ADK FAQ
Common questions about integrating Appfigures MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Appfigures with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Appfigures to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
