Kustomer MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Kustomer as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="kustomer_agent",
instruction=(
"You help users interact with Kustomer "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 Kustomer MCP Server
Connect your AI agent to Kustomer to streamline your support operations and customer data auditing.
Google ADK natively supports Kustomer 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.
Key Features
- Omnichannel Conversation Access — List and audit support conversations from email, chat, and social channels
- Customer 360 View — Fetch detailed customer profiles including custom attributes and history
- Message Auditing — Retrieve the full message history for any support interaction
- Timeline Search — Perform deep searches across customer timelines using complex JSON filters
- Service Context — List support queues, agents, and custom data classes (Klasses)
Simple Setup
1. Subscribe to this server
2. Log in to Kustomer and generate a Bearer API Key (Settings > Security > API Keys)
3. Enter your key in the configuration panel
4. Start managing your support data via natural language
The Kustomer 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 Kustomer to Google ADK via MCP
Follow these steps to integrate the Kustomer 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 Kustomer via MCP
Why Use Google ADK with the Kustomer MCP Server
Google ADK provides unique advantages when paired with Kustomer 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 Kustomer
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 Kustomer tools with BigQuery, Vertex AI, and Cloud Functions
Kustomer + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Kustomer MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Kustomer and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Kustomer tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Kustomer regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Kustomer
Kustomer MCP Tools for Google ADK (10)
These 10 tools become available when you connect Kustomer to Google ADK via MCP:
check_kustomer_api_status
Check the status of the Kustomer API
get_conversation_details
Get details for a specific conversation
get_customer_profile
Get details for a specific customer
list_conversation_messages
List all messages in a conversation
list_data_klasses
List Kustomer custom data classes (Klasses)
list_kustomer_agents
List all support agents (users)
list_kustomer_customers
Essential for identifying customer IDs for support auditing. List all customers in Kustomer
list_support_conversations
List recent support conversations
list_support_queues
g., Billing, Technical Support) defined in Kustomer. List active support queues
search_kustomer_timeline
Provide filters as a JSON string. Perform a deep search across the customer timeline
Example Prompts for Kustomer in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Kustomer immediately.
"List the 10 most recent support conversations in Kustomer"
"Show the full profile for customer '65a4b3c2d1e0f'"
"Search the timeline for customers from 'Brazil'"
Troubleshooting Kustomer MCP Server with Google ADK
Common issues when connecting Kustomer to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkKustomer + Google ADK FAQ
Common questions about integrating Kustomer MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Kustomer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kustomer to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
