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Levo.ai (API Security & Observability) MCP Server for AutoGen 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Levo.ai (API Security & Observability) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="levoai_api_security_observability_agent",
            tools=tools,
            system_message=(
                "You help users with Levo.ai (API Security & Observability). "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Levo.ai (API Security & Observability)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Levo.ai (API Security & Observability) tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Levo.ai (API Security & Observability) MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Levo.ai (API Security & Observability) automatically

Why Use AutoGen with the Levo.ai (API Security & Observability) MCP Server

AutoGen provides unique advantages when paired with Levo.ai (API Security & Observability) through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Levo.ai (API Security & Observability) tools to solve complex tasks

02

Role-based architecture lets you assign Levo.ai (API Security & Observability) tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Levo.ai (API Security & Observability) tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Levo.ai (API Security & Observability) tool responses in an isolated environment

Levo.ai (API Security & Observability) + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Levo.ai (API Security & Observability) while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Levo.ai (API Security & Observability), a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Levo.ai (API Security & Observability) data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Levo.ai (API Security & Observability) responses in a sandboxed execution environment

Levo.ai (API Security & Observability) MCP Tools for AutoGen (10)

These 10 tools become available when you connect Levo.ai (API Security & Observability) to AutoGen via MCP:

01

export_openapi_spec

Export a live auto-generated OpenAPI payload specification for an application

02

get_endpoint_details

Get deep detailed schema structure for a specific discovered API endpoint

03

get_observation

Get details of a specific runtime anomalous observation

04

get_vulnerability

Get detailed diagnostic exploitation evidence for a specific API vulnerability

05

list_applications

List all API applications (services) tracked by Levo.ai

06

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

07

list_environments

List deployment boundaries environments monitored by Levo active sensors

08

list_observations

List runtime API behavior observations detected by Levo sensors

09

list_sensitive_data

List categorized API endpoints exposing sensitive or regulated data flows

10

list_vulnerabilities

List active API security vulnerabilities discovered across all applications

Example Prompts for Levo.ai (API Security & Observability) in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Levo.ai (API Security & Observability) immediately.

01

"List all discovered API endpoints in our Levo catalog"

02

"Show me the active OWASP vulnerabilities for the 'Checkout' application"

03

"Generate a live OpenAPI spec for the 'User Management' service"

Troubleshooting Levo.ai (API Security & Observability) MCP Server with AutoGen

Common issues when connecting Levo.ai (API Security & Observability) to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Levo.ai (API Security & Observability) + AutoGen FAQ

Common questions about integrating Levo.ai (API Security & Observability) MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Levo.ai (API Security & Observability) tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Levo.ai (API Security & Observability) to AutoGen

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.