Can I see which phrases my bot failed to understand?

Yes! Use the `list_training_data` tool. The agent will return a list of unrecognized phrases, helping you identify what needs to be added to your bot's training set.

How do I list all the interactions in a specific story?

Use the `list_story_interactions` tool with the unique story ID. Your agent will fetch all interaction blocks and their configurations.

Where do I find my ChatBot Access Token?

Log in to your ChatBot account and go to the settings section. Look for 'API' or 'Integrations' to generate and copy your Developer Access Token.

ChatBot.com MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: ChatBot.com
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ChatBot.com 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="chatbotcom_agent",
    instruction=(
        "You help users interact with ChatBot.com "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 ChatBot.com MCP Server

Connect your ChatBot.com account to any AI agent and take full control of your conversational automation through natural conversation. Streamline how you build and monitor your customer service bots.

Google ADK natively supports ChatBot.com as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

Story Oversight — List and retrieve details for all conversational stories and bot workflows natively
Interaction Intelligence — Access and monitor interactions within specific stories to understand user paths flawlessly
User Management — List all users who have interacted with your bot and retrieve their detailed profiles securely
Integration Auditing — List and review configured webhook integrations and entities flawlessly
Training Logistics — Retrieve unrecognized phrases to identify areas where your bot needs additional training flawlessly
System Metadata — Access entity definitions and core account structures directly within your workspace

The ChatBot.com MCP Server exposes 8 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 ChatBot.com to Google ADK via MCP

Follow these steps to integrate the ChatBot.com 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 8 tools from ChatBot.com via MCP

Why Use Google ADK with the ChatBot.com MCP Server

Google ADK provides unique advantages when paired with ChatBot.com 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 ChatBot.com

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 ChatBot.com tools with BigQuery, Vertex AI, and Cloud Functions

ChatBot.com + Google ADK Use Cases

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

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

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

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

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

ChatBot.com MCP Tools for Google ADK (8)

These 8 tools become available when you connect ChatBot.com to Google ADK via MCP:

get_chatbot_user_details

Get details for a specific chatbot user

get_story_details

Get detailed information for a specific story

list_chatbot_entities

List custom entities used for NLP matching

list_chatbot_stories

List all stories (bot workflows)

list_chatbot_users

List all users who have interacted with the bot

list_chatbot_webhooks

List all configured webhook integrations

list_story_interactions

List all interactions within a story

list_training_data

List unrecognized phrases that require bot training

Example Prompts for ChatBot.com in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ChatBot.com immediately.

"List all conversational stories in my account."

"What training data is pending review?"

"Search for users who interacted with the bot today."

Troubleshooting ChatBot.com MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

ChatBot.com + Google ADK FAQ

Common questions about integrating ChatBot.com 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.