Customerly MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Add Tag, Create Update Lead, Create Update User, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Customerly through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Customerly app connector for OpenAI Agents SDK is a standout in the Marketing category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Customerly Assistant",
instructions=(
"You help users interact with Customerly. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Customerly"
)
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 Customerly MCP Server
Connect your Customerly account to any AI agent and take full control of your customer success and support workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Customerly through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Customerly, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- User & Lead Orchestration — Create and manage customer profiles programmatically, including synchronizing custom attributes and managing lifecycle status
- Conversation Intelligence — Access complete chat histories and retrieve detailed interaction metadata to provide high-fidelity context for support
- Engagement Tracking — Monitor active chat sessions and customer interactions in real-time to optimize your team's response strategy
- Audience Segmentation — Programmatically add or remove tags for users and leads to maintain a structured and personalized communication ecosystem
- Record Management — Securely delete user records or update contact identification to ensure your database remains perfectly coordinated and compliant
The Customerly 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.
All 8 Customerly tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Customerly through Vinkius, your AI agent gets direct access to every tool listed below — spanning customerly, customer-success-api, live-chat-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Provide tag name and contact identification. Add a tag to a contact
Create or update a lead
Provide email and optionally user_id, name, and attributes. Create or update a user
Delete a user
Get details of a specific conversation
List all conversations
List all users
Remove a tag from a contact
Connect Customerly to OpenAI Agents SDK via MCP
Follow these steps to wire Customerly into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Customerly MCP Server
OpenAI Agents SDK provides unique advantages when paired with Customerly 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
Customerly + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Customerly MCP Server delivers measurable value.
Automated workflows: build agents that query Customerly, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Customerly, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Customerly tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Customerly to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Customerly in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Customerly immediately.
"List all active users in my Customerly account."
"Create a new lead for 'Jane Smith' at 'jane@example.com'."
"Show me the transcript for conversation ID 'conv_456'."
Troubleshooting Customerly MCP Server with OpenAI Agents SDK
Common issues when connecting Customerly to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Customerly + OpenAI Agents SDK FAQ
Common questions about integrating Customerly 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.