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 Google ADK 10 tools — connect in under 2 minutes

Name: Appbot
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Appbot as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

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="appbot_agent",
    instruction=(
        "You help users interact with Appbot "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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DLPData protection

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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.

Google ADK natively supports Appbot as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 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 Appbot to Google ADK via MCP

Follow these steps to integrate the Appbot 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 10 tools from Appbot via MCP

Why Use Google ADK with the Appbot MCP Server

Google ADK provides unique advantages when paired with Appbot 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 Appbot

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 Appbot tools with BigQuery, Vertex AI, and Cloud Functions

Appbot + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Appbot MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Appbot and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Appbot tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Appbot regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Appbot

Appbot MCP Tools for Google ADK (10)

These 10 tools become available when you connect Appbot to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Appbot to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Appbot + Google ADK FAQ

Common questions about integrating Appbot MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.