Elevio 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 Elevio 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="Elevio Assistant",
instructions=(
"You help users interact with Elevio. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Elevio"
)
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 Elevio MCP Server
Integrate Elevio, the leading customer education and knowledge management platform, directly into your AI workflow. Manage your knowledge base articles and categories, track real-time publishing statuses, monitor active assistant modules, and oversee your organizational learning content using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Elevio through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Elevio, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Article Oversight — List and retrieve detailed information, HTML content, and publishing status for all your knowledge base articles.
- Category Intelligence — Monitor the category tree, resolving structural relationships and identifying empty categories requiring attention.
- Module Management — Access and monitor all Elevio assistant modules (support, search, tickets) and their activation statuses.
- Knowledge Auditing — Retrieve high-level summaries of article volumes, category coverage, and organizational content health.
The Elevio 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 Elevio to OpenAI Agents SDK via MCP
Follow these steps to integrate the Elevio 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 Elevio
Why Use OpenAI Agents SDK with the Elevio MCP Server
OpenAI Agents SDK provides unique advantages when paired with Elevio 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
Elevio + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Elevio MCP Server delivers measurable value.
Automated workflows: build agents that query Elevio, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Elevio, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Elevio tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Elevio to resolve tickets, look up records, and update statuses without human intervention
Elevio MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Elevio to OpenAI Agents SDK via MCP:
get_article_details
Get detailed settings and full content for a specific article
get_elevio_account_metadata
Retrieve metadata and limits for your Elevio account
list_active_modules
List all Elevio assistant modules (e.g. support, search, tickets)
list_draft_knowledge_articles
Identify articles that are currently in a "Draft" status
list_empty_knowledge_categories
Identify categories that currently have no associated articles (mock logic)
list_knowledge_articles
List all articles in your Elevio knowledge base
list_knowledge_categories
List all categories configured in your Elevio account
list_latest_article_updates
Identify the most recently created or updated articles
quick_content_health_audit
Retrieve a high-level summary of article and category volumes
search_knowledge_articles
Search for articles using a title or keyword
Example Prompts for Elevio in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Elevio immediately.
"List all published knowledge articles."
"Show me the categories in our knowledge base."
"Search for articles about 'integrations'."
Troubleshooting Elevio MCP Server with OpenAI Agents SDK
Common issues when connecting Elevio to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Elevio + OpenAI Agents SDK FAQ
Common questions about integrating Elevio 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 Elevio 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 Elevio to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
