Freshsuccess MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Freshsuccess through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"freshsuccess": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Freshsuccess Agent",
instructions:
"You help users interact with Freshsuccess " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Freshsuccess?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Freshsuccess tool infrastructure. Connect 11 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Freshsuccess MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from Freshsuccess via MCP
Why Use Mastra AI with the Freshsuccess MCP Server
Mastra AI provides unique advantages when paired with Freshsuccess through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Freshsuccess without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Freshsuccess tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Freshsuccess + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Freshsuccess MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Freshsuccess, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Freshsuccess as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Freshsuccess on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Freshsuccess tools alongside other MCP servers
Freshsuccess MCP Tools for Mastra AI (11)
These 11 tools become available when you connect Freshsuccess to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Freshsuccess to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFreshsuccess + Mastra AI FAQ
Common questions about integrating Freshsuccess MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.