How do I find my Appbot API credentials?

Log in to your Appbot dashboard, go to your team settings, and navigate to the API section. You can generate an API Key which consists of a Username and a Password.

Can I filter reviews for a specific app version?

Yes, you can use the `list_versions` tool to see detected versions and then use the `list_reviews` tool with the version filter to see feedback for that specific release.

What types of sentiment does Appbot detect?

Appbot classifies reviews into four sentiment categories: positive, negative, neutral, and mixed. You can filter reviews using these categories in the `list_reviews` tool.

Appbot MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Appbot
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Appbot through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 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="Appbot Assistant",
            instructions=(
                "You help users interact with Appbot. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Appbot"
        )
        print(result.final_output)

asyncio.run(main())

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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 Appbot MCP Server

The Appbot MCP Server provides deep insights into your app's user feedback. By connecting your Appbot account to your AI agent, you can programmatically retrieve reviews, analyze sentiment trends, and identify key topics from your iOS, Android, and other platform reviews using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from Appbot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Appbot, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Review Retrieval — List and filter reviews by app, sentiment, star rating, or specific keywords.
Sentiment Analysis — Quickly gauge the overall tone of user feedback (positive, negative, neutral, mixed).
Topic Identification — Discover common themes in your reviews with standard and custom topics.
Version Tracking — Monitor feedback for specific app versions to evaluate new releases.
Global Insights — Filter reviews by country and language to understand your global audience.

The Appbot MCP Server exposes 10 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 Appbot to OpenAI Agents SDK via MCP

Follow these steps to integrate the Appbot 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 10 tools from Appbot

Why Use OpenAI Agents SDK with the Appbot MCP Server

OpenAI Agents SDK provides unique advantages when paired with Appbot 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

Appbot + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Appbot MCP Server delivers measurable value.

Automated workflows: build agents that query Appbot, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Appbot, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Appbot tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Appbot to resolve tickets, look up records, and update statuses without human intervention

Appbot MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Appbot to OpenAI Agents SDK via MCP:

get_account_info

Retrieve Appbot account details and connection status

get_review_details

Get complete details for a single specific review

get_reviews_by_custom_topic

Retrieve reviews associated with a specific custom topic

list_apps

List all apps tracked by your team in Appbot

list_countries

List countries available for filtering reviews

list_custom_topics

List user-defined custom topics set up in the Appbot dashboard

list_languages

List all languages supported by Appbot for sentiment analysis

list_reviews

Use sentiment, starRating, or keyword filters to narrow down the results. Useful for sentiment analysis and bug reporting. List reviews for a specific app with optional filtering

list_topics

List standard topics identified in app reviews by Appbot AI

list_versions

List app versions detected in the app reviews

Example Prompts for Appbot in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Appbot immediately.

"List all my apps tracked in Appbot."

"Show me the last 10 negative reviews for the iOS app."

"What are the most common topics in recent reviews for my Android app?"

Troubleshooting Appbot MCP Server with OpenAI Agents SDK

Common issues when connecting Appbot to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Appbot + OpenAI Agents SDK FAQ

Common questions about integrating Appbot MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.