Appcues MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Appcues 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="Appcues Assistant",
instructions=(
"You help users interact with Appcues. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Appcues"
)
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 Appcues MCP Server
The Appcues MCP Server empowers your AI agent to interact directly with your Appcues account. Whether you need to audit your current onboarding flows, manage user segments, or track real-time user activity, this integration provides a seamless natural language interface to your product experience platform.
The OpenAI Agents SDK auto-discovers all 11 tools from Appcues through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Appcues, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Flow Management — List, view, publish, and unpublish flows (in-app experiences) across web and mobile.
- User Segmentation — Retrieve and analyze your targeting segments to understand who is seeing your content.
- Activity Tracking — Send real-time events and profile updates for immediate targeting and personalization.
- Mobile Support — Access specific experiences designed for your mobile applications.
- Auditing & Reporting — Quickly check account status, checklists, and experience metadata.
Benefits for Teams
- Product Managers — Quickly audit which onboarding flows are active and make changes without leaving your AI workspace.
- Growth Engineers — Programmatically track user events to trigger personalized in-app journeys.
- Customer Success — View user profiles and segment membership to provide better support and guidance.
The Appcues MCP Server exposes 11 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 Appcues to OpenAI Agents SDK via MCP
Follow these steps to integrate the Appcues 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 11 tools from Appcues
Why Use OpenAI Agents SDK with the Appcues MCP Server
OpenAI Agents SDK provides unique advantages when paired with Appcues 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
Appcues + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Appcues MCP Server delivers measurable value.
Automated workflows: build agents that query Appcues, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Appcues, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Appcues tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Appcues to resolve tickets, look up records, and update statuses without human intervention
Appcues MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Appcues to OpenAI Agents SDK via MCP:
get_account_details
Verify Appcues account connection
get_flow
Get details for a specific flow
get_segment
Get details for a specific segment
get_user_profile
Retrieve the profile of a specific user
list_checklists
List all checklists configured in the account
list_flows
List all Appcues flows (experiences) for the account
list_mobile_experiences
List mobile-specific experiences
list_segments
List all user segments defined in Appcues
publish_flow
Publish a draft flow
track_user_activity
Use JSON strings for profileUpdate and events. Track real-time events and profile updates for a user
unpublish_flow
Unpublish an active flow
Example Prompts for Appcues in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Appcues immediately.
"List all my active Appcues flows."
"Track a 'clicked_checkout' event for user 'user_123'."
"Show me the details of the segment with ID '998877'."
Troubleshooting Appcues MCP Server with OpenAI Agents SDK
Common issues when connecting Appcues to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Appcues + OpenAI Agents SDK FAQ
Common questions about integrating Appcues 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 Appcues 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 Appcues to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
