How to Use the ClientSuccess MCP in Mastra AI

Q: How do I install the ClientSuccess MCP Server in Mastra AI?

Run npm install @mastra/mcp@latest and initialize a new MCPClient. Pass your Vinkius endpoint URL into the servers object. The engine auto-detects whether to use Streamable HTTP or SSE.

Q: Can Mastra AI trigger alerts based on ClientSuccess cycles?

Your agent can poll listclientsuccesscycles on a schedule. It then uses conditional branching to ping Slack if an onboarding phase misses its deadline.

Build resilient customer success workflows in Mastra AI using the ClientSuccess MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ClientSuccess MCP to Mastra AI

Create your Vinkius account to connect ClientSuccess to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ClientSuccess with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Mastra AI Workflows

Triggering `list_client_success_tasks` initiates your automated support routines. Your agent checks pending to-dos and decides which workflow branch to execute based on priority. Network timeouts happen when pulling large customer lists. The framework catches any failures and applies exponential backoff before trying the request again.

Route Customer Escalations

When an account reports an issue, `get_client_success_details` pulls the health score. If the metric sits below a critical threshold, the system routes the ticket directly to a senior manager. Deploying this MCP logic takes one command to push to your cloud provider. You spread `mcpClient.listTools()` into your agent configuration and let the engine handle the rest.

Audit Success Managers

Security requires `get_my_success_profile` to confirm exactly who is executing the current workflow. The agent logs the authenticated user before modifying any account records. Some actions demand a human in the loop. You can configure `requireToolApproval` so a supervisor reviews the internal notes before the system sends a summary to the client.

Setup guide

Set up ClientSuccess MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ClientSuccess tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "clientsuccess-mcp-client",
  servers: {
    "clientsuccess-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ClientSuccess Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ClientSuccess tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ClientSuccess transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClientSuccess. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ClientSuccess now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ClientSuccess MCP in Mastra AI

Run `npm install @mastra/mcp@latest` and initialize a new `MCPClient`. Pass your Vinkius endpoint URL into the servers object. The engine auto-detects whether to use Streamable HTTP or SSE.

Your agent can poll `list_client_success_cycles` on a schedule. It then uses conditional branching to ping Slack if an onboarding phase misses its deadline.

Built-in retry logic handles any temporary API drops automatically. You never have to write custom error handling for fetching customer subscriptions.

You map only specific operations when spreading the tools array. Leaving out the notes endpoint ensures the workflow only sees public-facing data.

Vinkius processes your onboarding cycles and contact lists inside a zero-trust sandbox. No data persists after the workflow completes its execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python