How to Use the Levo.ai (API Security & Observability) MCP in VS Code Copilot

Q: How do we share Levo.ai (API Security & Observability) across our team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it. This MCP Server configuration allows every developer on your team with VS Code 1.96+ and Copilot Chat to automatically gain access to the API security tools.

Q: Can VS Code Copilot generate OpenAPI specs using Levo.ai (API Security & Observability)?

Yes, Copilot invokes exportopenapispec to pull live-generated specifications into your editor. You can then use Copilot to generate mock servers or verify that your local code matches the live spec.

Q: Can we filter vulnerabilities by environment in Copilot?

Yes, you can ask Copilot to call listenvironments first. This lets you restrict your vulnerability scans and schema checks to specific staging or production boundaries.

Audit API endpoints and block OWASP vulnerabilities directly from VS Code Copilot.

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Connect Levo.ai (API Security & Observability) MCP to VS Code Copilot

Create your Vinkius account to connect Levo.ai (API Security & Observability) to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Levo.ai (API Security & Observability) with VS Code Copilot

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Audit team APIs inside VS Code Copilot

The `list_catalog_endpoints` tool exposes shadow and zombie APIs directly inside your VS Code Copilot chat window. Your engineering team can run shared audits by committing the server configuration to your repository. Copilot uses this endpoint catalog to flag undocumented routes. This ensures that every developer on the team can see exactly what is running in production without logging into a separate web UI.

Guard PII flows with this MCP Server

The `list_sensitive_data` tool identifies endpoints exposing sensitive data like PII or PHI right within your workspace. VS Code Copilot uses this telemetry to help you write data masking middleware. By calling `get_endpoint_details`, Copilot inspects the exact fields that are exposed. It then generates precise validation schemas to block unauthorized data outflows before they hit your staging environment.

Debug live exploit paths in Copilot

The `get_vulnerability` tool pulls precise exploitation evidence and diagnostic data directly into your VS Code Copilot session. Your team can analyze real-world attack vectors alongside the local controller code. Copilot uses this diagnostic data to explain the root cause of the bug. It then writes a targeted fix, ensuring your team resolves OWASP Top 10 vulnerabilities before the next deployment cycle.

Setup guide

Set up Levo.ai (API Security & Observability) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Levo.ai (API Security & Observability) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Levo.ai (API Security & Observability) tools listed. Try asking: "List my recent Levo.ai (API Security & Observability) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Levo.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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

Create a `.vscode/mcp.json` file in your repository root and commit it. This MCP Server configuration allows every developer on your team with VS Code 1.96+ and Copilot Chat to automatically gain access to the API security tools.

Yes, Copilot invokes `export_openapi_spec` to pull live-generated specifications into your editor. You can then use Copilot to generate mock servers or verify that your local code matches the live spec.

Your agent queries the MCP Server to retrieve anomalous runtime events flagged by Levo sensors via `list_observations`. Copilot then runs `get_observation` to help your team trace the exact route and payload that triggered the alert.

Yes, you can ask Copilot to call `list_environments` first. This lets you restrict your vulnerability scans and schema checks to specific staging or production boundaries.

Yes, all API endpoint configurations, live specs, and vulnerability details are isolated in ephemeral V8 sandboxes. The MCP Server only passes the parsed JSON schemas necessary to suggest code fixes, keeping your core security data locked down.

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