Can I see the health score for a specific client?

Yes! Use the `get_client_success_details` tool with the client ID. The agent will return the success score, health status, and other key metrics for that account.

How do I check the active onboarding cycles for my accounts?

Use the `list_client_success_cycles` tool. Your agent will fetch all onboarding and success cycles, allowing you to monitor progress and identify any blocked steps.

Where do I find my ClientSuccess API Key?

Log in to your ClientSuccess account and navigate to **Global Settings > API**. You can generate and copy your personal API key from that section.

ClientSuccess MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: ClientSuccess
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ClientSuccess through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ClientSuccess Assistant",
            instructions=(
                "You help users interact with ClientSuccess. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ClientSuccess"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 8 tools from ClientSuccess through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ClientSuccess, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the ClientSuccess MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from ClientSuccess

Why Use OpenAI Agents SDK with the ClientSuccess MCP Server

OpenAI Agents SDK provides unique advantages when paired with ClientSuccess through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ClientSuccess + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ClientSuccess MCP Server delivers measurable value.

Automated workflows: build agents that query ClientSuccess, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries ClientSuccess, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through ClientSuccess tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query ClientSuccess to resolve tickets, look up records, and update statuses without human intervention

ClientSuccess MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect ClientSuccess to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting ClientSuccess to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ClientSuccess + OpenAI Agents SDK FAQ

Common questions about integrating ClientSuccess MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.