Freshsuccess MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Freshsuccess 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="freshsuccess_agent",
instruction=(
"You help users interact with Freshsuccess "
"using 11 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 Freshsuccess MCP Server
Connect your Freshsuccess (Freshdesk Customer Success) account to any AI agent to automate your customer retention and engagement operations through the Model Context Protocol (MCP). Freshsuccess empowers Customer Success Managers (CSMs) to prevent churn, increase expansion revenue, and proactively manage accounts. This MCP server enables you to track health scores, update user metadata, and log custom metrics directly through natural conversation.
Google ADK natively supports Freshsuccess 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.
Key Features
- Account Oversight — List all customer accounts, retrieve detailed profiles including health scores, and map assigned CSMs instantly.
- User & Engagement Tracking — Access detailed end-user profiles, monitor product usage, and upsert records to ensure accurate data.
- Proactive Alerts — Monitor configured customer success alerts (e.g., drop in usage, poor health) to prioritize interventions.
- Task Management — Retrieve pending CSM tasks and to-dos to keep your team aligned on retention efforts.
- Custom Metric Logging — Post specific product usage values or custom metrics directly to accounts and users to influence health scoring.
- Data Synchronization — Ensure your CRM and CS platforms are perfectly aligned by automating record updates.
The Freshsuccess 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 Freshsuccess to Google ADK via MCP
Follow these steps to integrate the Freshsuccess 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 Freshsuccess via MCP
Why Use Google ADK with the Freshsuccess MCP Server
Google ADK provides unique advantages when paired with Freshsuccess 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 Freshsuccess
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 Freshsuccess tools with BigQuery, Vertex AI, and Cloud Functions
Freshsuccess + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Freshsuccess MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Freshsuccess and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Freshsuccess tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Freshsuccess regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Freshsuccess
Freshsuccess MCP Tools for Google ADK (11)
These 11 tools become available when you connect Freshsuccess to Google ADK via MCP:
check_api_status
Verify API connection
get_account_health
Get account metadata
get_user_health
Get user metadata
list_cs_accounts
List customer accounts
list_cs_alerts
g. drop in usage). List active alerts
list_cs_tasks
List pending tasks
list_cs_users
List account users
list_custom_metrics
List defined metrics
post_metric_value
Record custom metric
upsert_cs_account
Create/Update account
upsert_cs_user
Create/Update user
Example Prompts for Freshsuccess in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Freshsuccess immediately.
"List all active customer success alerts."
"Show me the health score for account 'acc_123'."
"Post a custom metric 'api_calls' with value 150 for user 'user_987'."
Troubleshooting Freshsuccess MCP Server with Google ADK
Common issues when connecting Freshsuccess to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFreshsuccess + Google ADK FAQ
Common questions about integrating Freshsuccess 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 Freshsuccess 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 Freshsuccess to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.