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GPTBots MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

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="gptbots_agent",
    instruction=(
        "You help users interact with GPTBots "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
GPTBots
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 GPTBots MCP Server

Connect your GPTBots account to your AI agent and manage your enterprise AI infrastructure conversationally. Interact with your deployed bots, trigger complex automated workflows, and upload new documents to your knowledge bases without leaving your development environment.

Google ADK natively supports GPTBots 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

  • Bot Interaction — List active conversations, review chat histories, and send messages directly to your deployed AI agents
  • Knowledge Management — Browse available knowledge documents and upload new content to keep your bots' context up to date
  • Workflow Automation — Trigger configured AI workflows and query their execution status programmatically
  • Database Queries — List tables and records hosted within the GPTBots platform database

The GPTBots 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 GPTBots to Google ADK via MCP

Follow these steps to integrate the GPTBots MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from GPTBots via MCP

Why Use Google ADK with the GPTBots MCP Server

Google ADK provides unique advantages when paired with GPTBots through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with GPTBots

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine GPTBots tools with BigQuery, Vertex AI, and Cloud Functions

GPTBots + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

GPTBots MCP Tools for Google ADK (8)

These 8 tools become available when you connect GPTBots to Google ADK via MCP:

01

create_knowledge_document

Upload or create a document in the Knowledge Base

02

get_conversation

Get details and history of a specific conversation

03

list_conversations

List chat conversations with a bot

04

list_databases

List tables in the platform database

05

list_knowledge_documents

List documents in a Knowledge Base

06

query_workflow

Check the execution status of a triggered workflow

07

send_bot_message

Send a message to a GPTBots Agent

08

trigger_workflow

Trigger an automated workflow

Example Prompts for GPTBots in Google ADK

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

01

"List all recent conversations for bot ID 'bot_123xyz'."

02

"Trigger the onboarding workflow (ID: 'wf_456') and pass the parameter email='test@example.com'."

Troubleshooting GPTBots MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

GPTBots + Google ADK FAQ

Common questions about integrating GPTBots MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect GPTBots to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.