How to Use the Appbot MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK filter Appbot reviews by sentiment?

Yes. The agent uses the listreviews tool to apply sentiment, star rating, and keyword filters automatically. It pulls only the relevant complaints for your specific query.

Connect Appbot to the OpenAI Agents SDK via a managed MCP Server to build production-ready support agents that analyze user feedback with hard guardrails.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Appbot MCP to OpenAI Agents SDK

Create your Vinkius account to connect Appbot to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Appbot with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build an Appbot agent with OpenAI handoffs

The `list_reviews` tool lets your agent pull raw sentiment data and bug reports directly from Appbot. You can configure an OpenAI agent specifically for triage, giving it access to star ratings and keyword filters while restricting it from other actions. When that triage agent spots a critical issue, it passes the context to a specialized escalation agent. Your team gets full tracing through the OpenAI dashboard, showing exactly which reviews triggered the handoff and why the agent decided to act.

Track custom topics across versions

Your agent uses `get_reviews_by_custom_topic` to monitor specific features your team just shipped through the MCP protocol. It pulls the raw feedback data and cross-references it using `list_versions` to see if the sentiment dropped after the latest release. Because the SDK validates inputs before execution, your agent will not waste API calls on malformed queries. It checks the available filters using `list_custom_topics` first, ensuring the exact tag exists before pulling the data payload.

Map global sentiment automatically

Calling `list_countries` and `list_languages` gives your agent the exact parameters it needs to segment feedback geographically. It iterates through these lists to pull localized app store reviews without human prompting. You just set the cacheToolsList flag to true during setup. The agent discovers all ten Appbot tools instantly, letting it focus on reading the actual user complaints instead of figuring out how the API works.

Setup guide

Set up Appbot MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Appbot tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Appbot tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Appbot tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Appbot Agent",
            instructions="You have access to Appbot tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appbot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Appbot now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Appbot MCP in OpenAI Agents SDK

Install the package using pip install openai-agents. Create an MCPServerStreamableHttp instance with your Vinkius URL and pass it to the Agent constructor via the mcp_servers array.

Yes. The agent uses the list_reviews tool to apply sentiment, star rating, and keyword filters automatically. It pulls only the relevant complaints for your specific query.

The SDK enforces built-in guardrails that validate every tool call before execution. If the agent tries to pull an invalid app ID, the system blocks the action and logs the attempt.

No. The SDK auto-discovers the tools from the MCP Server immediately upon connection. Setting cacheToolsList to true speeds up this initialization step.

Your Appbot MCP Server only processes public app store reviews, custom topic tags, and basic account metadata. Vinkius isolates the connection in an ephemeral V8 sandbox, meaning your raw feedback data never leaks into shared memory spaces.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript