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

Q: How do I run Levo.ai (API Security & Observability) in Claude Code?

Use the command claude mcp add followed by the server URL. Claude Code will then have access to all tools in the catalog.

Q: Does Levo.ai (API Security & Observability) support Claude Code's headless mode?

It does. You can pipe the output of any tool, like listobservations, into other CLI utilities for advanced log processing.

Pipe API security data into your terminal with Claude Code and the Levo.ai (API Security & Observability) MCP Server.

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

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

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Claude Code audits APIs in the CLI

Run `list_catalog_endpoints` directly in your shell to get a full inventory of your services. Pipe the output into your own scripts to track API sprawl in CI/CD. This is the fastest way to verify your API surface area before a deployment. You get the raw data you need to enforce your security policies.

Analyze vulnerabilities with Claude Code

Use `list_vulnerabilities` to pull high-priority issues into your terminal output. Claude Code can then process these findings to flag broken builds. This keeps your security gate integrated with your existing pipeline. You stop bad code from reaching production before it even hits the staging server.

Monitor sensitive data with Claude Code

Call `list_sensitive_data` to list endpoints that expose PII. This output is perfect for automated compliance checks in your terminal. Claude Code uses these results to alert your SRE team immediately. You gain visibility into your data exposure without needing a GUI.

Setup guide

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

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see levoai-api-security-observability-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Levo.ai (API Security & Observability) transactions." It will automatically discover and invoke the available Levo.ai (API Security & Observability) tools.

Terminal

claude mcp add --transport http levoai-api-security-observability-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

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

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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

Use the command `claude mcp add` followed by the server URL. Claude Code will then have access to all tools in the catalog.

Yes. Since it runs in the terminal, you can script it to check for vulnerabilities and block deployments if issues exist.

It does. You can pipe the output of any tool, like `list_observations`, into other CLI utilities for advanced log processing.

You need a single endpoint token managed through your Vinkius dashboard. This token handles all authorization for your MCP connection.

The server only reads diagnostic metadata about your API calls and vulnerabilities. It does not touch your actual application data or user records.

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