Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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="Levo.ai (API Security & Observability) Assistant",
instructions=(
"You help users interact with Levo.ai (API Security & Observability). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Levo.ai (API Security & Observability)"
)
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 Levo.ai (API Security & Observability) MCP Server
Connect your Levo.ai account to any AI agent and take full control of your API security posture and runtime observability through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Levo.ai (API Security & Observability) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Levo.ai (API Security & Observability), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Endpoint Orchestration — List all auto-discovered API endpoints (REST, GraphQL, gRPC) and identify undocumented shadow or zombie APIs directly from your agent
- Sensitive Data Audit — Query categorizations for endpoints exposing regulated data flows including PII (names, emails), PHI (medical), and financial boundaries
- Vulnerability Management — Monitor active API security vulnerabilities validating against OWASP boundaries, including BOLA instances and broken authentication
- OpenAPI Generation — Export live, precisely accurate OpenAPI specifications derived immediately from actual observed traffic rather than static manual definitions
- Behavioral Monitoring — Analyze runtime API traffic patterns and anomalous observations detected by live sensors indicating unexpected schema drift
- Diagnostic Investigation — Retrieve detailed diagnostic exploitation evidence for specific vulnerabilities to understand root causes and remediation steps
The Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability)
Why Use OpenAI Agents SDK with the Levo.ai (API Security & Observability) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Levo.ai (API Security & Observability) 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
Levo.ai (API Security & Observability) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.
Automated workflows: build agents that query Levo.ai (API Security & Observability), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Levo.ai (API Security & Observability), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Levo.ai (API Security & Observability) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Levo.ai (API Security & Observability) to resolve tickets, look up records, and update statuses without human intervention
Levo.ai (API Security & Observability) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Levo.ai (API Security & Observability) to OpenAI Agents SDK via MCP:
export_openapi_spec
Export a live auto-generated OpenAPI payload specification for an application
get_endpoint_details
Get deep detailed schema structure for a specific discovered API endpoint
get_observation
Get details of a specific runtime anomalous observation
get_vulnerability
Get detailed diagnostic exploitation evidence for a specific API vulnerability
list_applications
List all API applications (services) tracked by Levo.ai
list_catalog_endpoints
Identifies REST, GraphQL, gRPC, and SOAP endpoints — including undocumented shadow and zombie APIs mapped dynamically. List all discovered API endpoints in the Levo.ai catalog
list_environments
List deployment boundaries environments monitored by Levo active sensors
list_observations
List runtime API behavior observations detected by Levo sensors
list_sensitive_data
List categorized API endpoints exposing sensitive or regulated data flows
list_vulnerabilities
List active API security vulnerabilities discovered across all applications
Example Prompts for Levo.ai (API Security & Observability) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Levo.ai (API Security & Observability) immediately.
"List all discovered API endpoints in our Levo catalog"
"Show me the active OWASP vulnerabilities for the 'Checkout' application"
"Generate a live OpenAPI spec for the 'User Management' service"
Troubleshooting Levo.ai (API Security & Observability) MCP Server with OpenAI Agents SDK
Common issues when connecting Levo.ai (API Security & Observability) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Levo.ai (API Security & Observability) + OpenAI Agents SDK FAQ
Common questions about integrating Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.