Can Levo.ai identify undocumented APIs in my environment?

Yes. Use the `list_catalog_endpoints` tool to see the full inventory auto-discovered by Levo sensors. Your agent can highlight 'Shadow' or 'Zombie' APIs that exist in your infrastructure but are missing from official documentation.

How do I check which endpoints are exposing PII or sensitive data?

The `list_sensitive_data` tool allows your agent to query endpoints categorized by regulated data flows. You'll see which paths are transmitting names, emails, SSNs, or financial data, helping you prioritize compliance audits.

Can my agent generate a live OpenAPI specification for an existing service?

Absolutely. Use the `export_openapi_spec` tool with a specific App ID. Your agent will retrieve a specification derived from actual observed traffic, providing a more accurate reflection of your live API than static files.

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

Name: Levo.ai (API Security & Observability)
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Levo.ai (API Security & Observability) and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "levoai-api-security-observability": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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DLPData protection

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<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.

GitHub Copilot Agent mode brings Levo.ai (API Security & Observability) data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

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

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Levo.ai (API Security & Observability)

Ask Copilot: "Using Levo.ai (API Security & Observability), help me...". 10 tools available

Why Use VS Code Copilot with the Levo.ai (API Security & Observability) MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Levo.ai (API Security & Observability) through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Levo.ai (API Security & Observability) + VS Code Copilot Use Cases

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

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Levo.ai (API Security & Observability) MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Levo.ai (API Security & Observability) to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

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

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Levo.ai (API Security & Observability) + VS Code Copilot FAQ

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

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.