Appfigures MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Appfigures through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Appfigures Assistant",
instructions=(
"You help users interact with Appfigures. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Appfigures"
)
print(result.final_output)
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 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.
The OpenAI Agents SDK auto-discovers all 11 tools from Appfigures through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Appfigures, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Appfigures MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 11 tools from Appfigures
Why Use OpenAI Agents SDK with the Appfigures MCP Server
OpenAI Agents SDK provides unique advantages when paired with Appfigures through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Appfigures + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Appfigures MCP Server delivers measurable value.
Automated workflows: build agents that query Appfigures, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Appfigures, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Appfigures tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Appfigures to resolve tickets, look up records, and update statuses without human intervention
Appfigures MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Appfigures to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Appfigures to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Appfigures + OpenAI Agents SDK FAQ
Common questions about integrating Appfigures MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Appfigures 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 Appfigures to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.