How to Use the Levo.ai (API Security & Observability) MCP in Mastra AI
Build resilient security workflows in Mastra AI using the Levo.ai (API Security & Observability) MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Levo.ai (API Security & Observability) MCP to Mastra AI
Create your Vinkius account to connect Levo.ai (API Security & Observability) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate security logic in Mastra AI
Create complex remediation chains by chaining `list_vulnerabilities` with custom logic. If a high-severity threat appears, your Mastra workflow can trigger alerts automatically. Use conditional branching to decide whether to notify an engineer or block an endpoint. It handles the decision tree while you define the business rules.
Dynamic environment management
Query your deployment boundaries with `list_environments` to ensure your workflow acts on the right target. You avoid cross-environment contamination by verifying the context before execution. Pass these environment IDs into `list_catalog_endpoints` to keep your security catalog updated. The agent performs the discovery, and you manage the state.
Proactive API schema validation
Export current API specs using `export_openapi_spec` as part of your deployment pipeline. This ensures your documentation never drifts from the actual implementation discovered by sensors. Your Mastra agents can compare this output against your internal standards. If the spec doesn't match, the workflow halts the deployment until a human reviews the discrepancy.
Set up Levo.ai (API Security & Observability) MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Levo.ai (API Security & Observability) tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "levoai-api-security-observability-mcp-client",
servers: {
"levoai-api-security-observability-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Levo.ai (API Security & Observability) Agent",
model: openai("gpt-4o"),
instructions: "You have access to Levo.ai (API Security & Observability) tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Levo.ai (API Security & Observability) transactions"
);
console.log(result.text); 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 Mastra AI
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