How to Use the Levo.ai (API Security & Observability) MCP in Cursor

Q: How do I run Levo.ai (API Security & Observability) inside Cursor?

Add the MCP Server configuration to your global /.cursor/mcp.json or your project's local .cursor/mcp.json file. Once configured, enable Agent mode in Cursor chat to let the editor invoke the tools during coding sessions.

Q: Can Cursor track sensitive data flows with Levo.ai (API Security & Observability)?

Yes, your Cursor agent uses listsensitivedata to locate files in your codebase that handle PII or PHI. It maps these flows to ensure your local code implements the proper encryption or masking before deployment.

Q: Can I query specific runtime anomalies while debugging?

Yes, you can ask Cursor to run listobservations to pull recent anomalous behaviors. It uses getobservation to correlate those anomalies with the exact line of code causing the unexpected payloads.

Hunt down API vulnerabilities and fix leaky schemas inside Cursor while you write code.

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Connect Levo.ai (API Security & Observability) MCP to Cursor

Create your Vinkius account to connect Levo.ai (API Security & Observability) to Cursor 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 Cursor

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Claude

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Fix OWASP bugs directly in Cursor

The `get_vulnerability` tool feeds raw exploitation evidence directly to your Cursor agent. While you are editing code, the agent pulls the vulnerability details and writes a targeted patch for the specific endpoint. You don't have to guess what the vulnerability looks like. By coupling `list_vulnerabilities` with Cursor's inline editing, your agent fixes broken authorization checks and input validation bugs using real runtime evidence.

Generate specs from live Cursor sessions

The `export_openapi_spec` tool pulls live-generated schemas straight into your Cursor workspace. Your Cursor agent can write new integration tests or client SDKs using the actual payload structures running in production. This eliminates the need to manually write boilerplate types or mock files. The agent reads the spec, analyzes your local directory, and updates your TypeScript or Python types to match the live API.

Analyze schemas with this MCP Server

The `get_endpoint_details` tool queries the exact schema of any discovered endpoint right inside Cursor. When you are writing a client call, your agent pulls the schema to verify you are sending the correct fields. This prevents runtime serialization issues before you even commit. The agent uses the schema data to warn you if you are missing required properties or sending incorrect data types.

Setup guide

Set up Levo.ai (API Security & Observability) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

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

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Levo.ai (API Security & Observability) transactions." If the MCP tools are loaded correctly, Cursor will call the Levo.ai (API Security & Observability) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Add the MCP Server configuration to your global ~/.cursor/mcp.json or your project's local .cursor/mcp.json file. Once configured, enable Agent mode in Cursor chat to let the editor invoke the tools during coding sessions.

Yes, your Cursor agent uses `list_sensitive_data` to locate files in your codebase that handle PII or PHI. It maps these flows to ensure your local code implements the proper encryption or masking before deployment.

Your Cursor agent uses this MCP Server to fetch all live REST, GraphQL, or gRPC endpoints using `list_catalog_endpoints`. Cursor then scans your local route files to identify which endpoints exist in production but are missing from your codebase.

Yes, you can ask Cursor to run `list_observations` to pull recent anomalous behaviors. It uses `get_observation` to correlate those anomalies with the exact line of code causing the unexpected payloads.

All API endpoint structures, schemas, and vulnerability logs are processed within an isolated V8 sandbox on Vinkius. This MCP Server only sends structured JSON payloads needed to execute your local code modifications, keeping your raw production telemetry secure.

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