How to Use the ClientSuccess MCP in Mastra AI

Q: How do I set up the ClientSuccess MCP Server with Mastra AI?

It's straightforward. After npm install, you instantiate the MCPClient and pass your Vinkius server URL. Then you can use mcpClient.listTools() to get the available ClientSuccess tools and pass them to your agent.

Q: Can I require human approval for certain ClientSuccess actions in Mastra AI?

Yes. Mastra AI supports requireToolApproval. You can configure your agent to call createclient, but pause for a person to approve the action in a Slack channel or dashboard before it actually runs.

Q: Can I build a workflow that checks ClientSuccess and then uses another service?

Absolutely. That's the point. Your agent can use listcontracts from this MCP server, find contracts expiring soon, and then use a tool from a different server to send an email.

Build bulletproof background jobs for ClientSuccess using Mastra AI's workflow engine.

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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.

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Setup ClientSuccess with Mastra AI

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Automate Client Onboarding

Use the `create_client` tool as a step in a larger Mastra AI workflow. When a new customer signs up, your agent can automatically create their record in ClientSuccess. No manual entry required. Mastra AI's engine ensures it happens. If the ClientSuccess API is temporarily down, the workflow will retry with exponential backoff until the client is created. You build it once, and it just works.

Resilient Data Syncing

Keep your internal systems up-to-date. Build a Mastra AI agent that periodically calls `list_clients` and `list_contracts` to pull the latest data from ClientSuccess. This isn't a fragile script. If a network blip occurs during the sync, the agent handles it without crashing. You get a reliable pipeline for customer data without writing complex error-handling logic yourself.

Conditional Logic for Your MCP Server

Go beyond simple calls. Your Mastra AI agent can fetch details with `get_client_details`, then use conditional logic to decide the next step. If a client's health score is low, the agent can automatically open a task in another system. This MCP server gives you the raw materials—client data, contacts, and segments. Mastra AI provides the brain to act on that information, creating multi-step processes that respond to the state of your customers.

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-alternative-mcp-client",
  servers: {
    "clientsuccess-alternative-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);

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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

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Common questions about ClientSuccess MCP in Mastra AI

It's straightforward. After `npm install`, you instantiate the `MCPClient` and pass your Vinkius server URL. Then you can use `mcpClient.listTools()` to get the available ClientSuccess tools and pass them to your agent.

Yes. Mastra AI supports `requireToolApproval`. You can configure your agent to call `create_client`, but pause for a person to approve the action in a Slack channel or dashboard before it actually runs.

Mastra AI handles it. Its workflow engine has built-in retry logic with exponential backoff. Your agent will wait and try the `list_clients` call again automatically, so a temporary API outage doesn't break your entire workflow.

Absolutely. That's the point. Your agent can use `list_contracts` from this MCP server, find contracts expiring soon, and then use a tool from a different server to send an email.

We take security seriously. All requests from your Mastra AI agent to this MCP server are authenticated using your secret token and encrypted with TLS. The server only processes data for active tool calls—like client names and contract details—and doesn't store it after the operation is complete.

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