How do I find my HelpCrunch API Key?

Log in to your HelpCrunch dashboard, navigate to **Settings > Developers > Public API**. You will be able to generate and copy your unique Bearer token from there.

Can I reassign a chat to another team member?

Yes! Use the `update_chat_assignee` tool. You must provide the `chat_id` and the numeric `assignee_id` of the team member you wish to assign the conversation to.

How can I filter chats by status?

Use the `search_chats` tool and provide a JSON filter string. For example, to find open chats, pass `{"status": "open"}` in the `filter_json` parameter.

Is it possible to tag customers through this integration?

Yes, you can use the `add_customer_tag` tool. Provide the `customer_id` and the name of the tag you want to add to their profile.

HelpCrunch MCP Server for Google ADK 11 tools — connect in under 2 minutes

Name: HelpCrunch
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add HelpCrunch 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="helpcrunch_agent",
    instruction=(
        "You help users interact with HelpCrunch "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)

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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 HelpCrunch MCP Server

Connect your HelpCrunch account to any AI agent and take full control of your customer communication and support workflows through natural conversation.

Google ADK natively supports HelpCrunch as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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

Chat Oversight — List all active and past conversations, retrieve full transcripts, and monitor response times.
Customer Management — Access detailed customer profiles, add descriptive tags, and track user interaction history.
Team Coordination — Reassign chats to specific team members or departments to ensure the right person handles every query.
Proactive Support — Search through chats using complex filters to identify trends or urgent customer issues.
Workflow Automation — Update chat statuses (closed, open, snoozed) directly from the chat interface.
Operational Efficiency — List support departments and monitor the overall health of your customer service operations.

The HelpCrunch MCP Server exposes 11 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 HelpCrunch to Google ADK via MCP

Follow these steps to integrate the HelpCrunch 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 11 tools from HelpCrunch via MCP

Why Use Google ADK with the HelpCrunch MCP Server

Google ADK provides unique advantages when paired with HelpCrunch 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 HelpCrunch

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 HelpCrunch tools with BigQuery, Vertex AI, and Cloud Functions

HelpCrunch + Google ADK Use Cases

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

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

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

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

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

HelpCrunch MCP Tools for Google ADK (11)

These 11 tools become available when you connect HelpCrunch to Google ADK via MCP:

add_customer_tag

Add a label/tag to a customer profile

get_chat_details

Get detailed information about a specific chat

get_customer_details

Get detailed profile information for a specific customer

list_chat_messages

Useful for understanding context or historical interactions. List all messages within a specific chat

list_chats

Each chat includes basic metadata and status. List all conversations (chats) in HelpCrunch

list_customers

List all customers (contacts) in HelpCrunch

list_departments

List all support departments

search_chats

Pass filter criteria as a JSON string in "filter_json" (e.g., {"status": "open"}). Search for chats using filters

send_message

Pass the payload as a JSON string in "body_json" (e.g., {"chat": 123, "text": "Hello"}). Send a message to a chat

update_chat_assignee

Assign a chat to a specific team member

update_chat_status

Update the status of a chat (e.g., closed, open)

Example Prompts for HelpCrunch in Google ADK

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

"List all open chats and show the last message for each."

"Search for all chats from the customer with email 'john.doe@example.com'."

"Tag customer ID 5592 with 'VIP' and 'Priority Support'."

Troubleshooting HelpCrunch MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

HelpCrunch + Google ADK FAQ

Common questions about integrating HelpCrunch 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.