How do I get an API Token for Freshchat?

Log in to Freshchat, navigate to Settings > API Tokens, and click on 'Generate Token' to retrieve your Bearer Token.

What is my 'Region Domain'?

Your domain depends on where your account is hosted (e.g. 'api.freshchat.com' for US, 'api.eu.freshchat.com' for Europe).

Can I send files or images through the agent?

Currently, the 'send_chat_message' tool focuses on sending text content. Supporting rich media typically requires separate upload operations.

Is it possible to see the chat history of a customer?

Yes! Use the 'list_chat_messages' tool and provide the Conversation ID. The agent will retrieve the historical message history for that thread.

Freshchat MCP Server for Google ADK 12 tools — connect in under 2 minutes

Name: Freshchat
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Freshchat 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="freshchat_agent",
    instruction=(
        "You help users interact with Freshchat "
        "using 12 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 Freshchat MCP Server

Connect your Freshchat account to any AI agent to automate your customer messaging and conversation management through the Model Context Protocol (MCP). Freshchat is a modern messaging software built for sales and support teams to engage with customers across web, mobile, and social channels. This MCP server enables you to track active chats, send real-time messages, and retrieve detailed user profiles directly through natural conversation.

Google ADK natively supports Freshchat as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

Conversation Oversight — List all active chats, fetch detailed conversation metadata, and monitor chat statuses (open, resolved) instantly.
Real-time Messaging — Post new messages to existing conversations to keep your support workflows moving fast.
User & Customer Data — Access detailed profile information for chat participants and search for users by email address.
Support Team Insights — List all support agents and team members to maintain full context of who is online and available.
Channel & Group Management — Access configured messaging channels and agent groups to understand your routing logic.
Message History — Retrieve the full message history for any specific conversation ID for audit and reporting.
Multi-Region Support — Seamlessly connect to your specific Freshchat data center (US, EU, IN, AU).

The Freshchat MCP Server exposes 12 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 Freshchat to Google ADK via MCP

Follow these steps to integrate the Freshchat 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 12 tools from Freshchat via MCP

Why Use Google ADK with the Freshchat MCP Server

Google ADK provides unique advantages when paired with Freshchat 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 Freshchat

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 Freshchat tools with BigQuery, Vertex AI, and Cloud Functions

Freshchat + Google ADK Use Cases

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

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

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

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

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

Freshchat MCP Tools for Google ADK (12)

These 12 tools become available when you connect Freshchat to Google ADK via MCP:

check_account_status

Verify account configuration

get_agent_profile

Get agent metadata

get_chat_user_details

Get user metadata

get_conversation_details

Get chat metadata

list_agent_groups

List agent groups

list_chat_channels

List chat channels

list_chat_messages

List messages in a chat

list_chat_users

List chat participants

list_conversations

List active chats

list_support_agents

List support agents

search_chat_users

Find user by email

send_chat_message

Post a new message

Example Prompts for Freshchat in Google ADK

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

"List all open conversations in my Freshchat account."

"Find the Freshchat user with the email 'customer@example.com'."

"Send a message to conversation 'conv_987': 'I am looking into this for you'."

Troubleshooting Freshchat MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Freshchat + Google ADK FAQ

Common questions about integrating Freshchat 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.