Kustomer MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kustomer through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Kustomer Assistant",
instructions=(
"You help users interact with Kustomer. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kustomer"
)
print(result.final_output)
asyncio.run(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 Kustomer MCP Server
Connect your AI agent to Kustomer to streamline your support operations and customer data auditing.
The OpenAI Agents SDK auto-discovers all 10 tools from Kustomer through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kustomer, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Omnichannel Conversation Access — List and audit support conversations from email, chat, and social channels
- Customer 360 View — Fetch detailed customer profiles including custom attributes and history
- Message Auditing — Retrieve the full message history for any support interaction
- Timeline Search — Perform deep searches across customer timelines using complex JSON filters
- Service Context — List support queues, agents, and custom data classes (Klasses)
Simple Setup
1. Subscribe to this server
2. Log in to Kustomer and generate a Bearer API Key (Settings > Security > API Keys)
3. Enter your key in the configuration panel
4. Start managing your support data via natural language
The Kustomer MCP Server exposes 10 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 Kustomer to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kustomer 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 10 tools from Kustomer
Why Use OpenAI Agents SDK with the Kustomer MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kustomer 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
Kustomer + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kustomer MCP Server delivers measurable value.
Automated workflows: build agents that query Kustomer, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kustomer, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kustomer tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kustomer to resolve tickets, look up records, and update statuses without human intervention
Kustomer MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kustomer to OpenAI Agents SDK via MCP:
check_kustomer_api_status
Check the status of the Kustomer API
get_conversation_details
Get details for a specific conversation
get_customer_profile
Get details for a specific customer
list_conversation_messages
List all messages in a conversation
list_data_klasses
List Kustomer custom data classes (Klasses)
list_kustomer_agents
List all support agents (users)
list_kustomer_customers
Essential for identifying customer IDs for support auditing. List all customers in Kustomer
list_support_conversations
List recent support conversations
list_support_queues
g., Billing, Technical Support) defined in Kustomer. List active support queues
search_kustomer_timeline
Provide filters as a JSON string. Perform a deep search across the customer timeline
Example Prompts for Kustomer in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kustomer immediately.
"List the 10 most recent support conversations in Kustomer"
"Show the full profile for customer '65a4b3c2d1e0f'"
"Search the timeline for customers from 'Brazil'"
Troubleshooting Kustomer MCP Server with OpenAI Agents SDK
Common issues when connecting Kustomer to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kustomer + OpenAI Agents SDK FAQ
Common questions about integrating Kustomer MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Kustomer 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 Kustomer to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.