ClientSuccess MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ClientSuccess through 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: {
"clientsuccess": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ClientSuccess Agent",
instructions:
"You help users interact with ClientSuccess " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ClientSuccess?"
);
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 ClientSuccess MCP Server
Connect your ClientSuccess account to any AI agent and take full control of your customer success operations through natural conversation. Streamline how you manage account health and revenue retention natively.
Mastra's agent abstraction provides a clean separation between LLM logic and ClientSuccess tool infrastructure. Connect 8 tools through 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.
What you can do
- Client Oversight — List and retrieve details for all clients, including health scores and status natively
- Subscription Intelligence — Access and monitor all subscriptions and contracts associated with specific clients flawlessly
- Success Cycle Tracking — Monitor onboarding and success cycles to ensure customer goals are met securely
- Interaction Auditing — List and review internal notes and tasks for any specific client flawlessly
- Contact Logistics — Access all contacts associated with your clients to maintain relationships securely
- integrated Visibility — Retrieve detailed client metadata and profile information directly within your workspace flawlessly
The ClientSuccess MCP Server exposes 8 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 ClientSuccess to Mastra AI via MCP
Follow these steps to integrate the ClientSuccess 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 8 tools from ClientSuccess via MCP
Why Use Mastra AI with the ClientSuccess MCP Server
Mastra AI provides unique advantages when paired with ClientSuccess through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ClientSuccess 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 ClientSuccess 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
ClientSuccess + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ClientSuccess MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ClientSuccess, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ClientSuccess as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ClientSuccess on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ClientSuccess tools alongside other MCP servers
ClientSuccess MCP Tools for Mastra AI (8)
These 8 tools become available when you connect ClientSuccess to Mastra AI via MCP:
get_client_success_details
Get detailed information for a specific client
get_my_success_profile
Retrieve information about the authenticated success manager
list_client_subscriptions
List all subscriptions and contracts for a specific client
list_client_success_contacts
List all contacts associated with a specific client
list_client_success_cycles
List all onboarding or success cycles for a client
list_client_success_notes
List all internal notes for a specific client
list_client_success_tasks
List all tasks and to-dos for a specific client
list_success_clients
List all clients in ClientSuccess
Example Prompts for ClientSuccess in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ClientSuccess immediately.
"List all my clients with a 'Risk' health status."
"Show me the subscriptions for 'Acme Corp'."
"What are the pending tasks for the 'Global Tech' account?"
Troubleshooting ClientSuccess MCP Server with Mastra AI
Common issues when connecting ClientSuccess to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpClientSuccess + Mastra AI FAQ
Common questions about integrating ClientSuccess 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 ClientSuccess 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 ClientSuccess to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.