Levo.ai (API Security & Observability) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Levo.ai (API Security & Observability) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Levo.ai (API Security & Observability), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Levo.ai (API Security & Observability) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Levo.ai (API Security & Observability) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Levo.ai (API Security & Observability) and passes them to the LLM
Why Use Vercel AI SDK with the Levo.ai (API Security & Observability) MCP Server
Vercel AI SDK provides unique advantages when paired with Levo.ai (API Security & Observability) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Levo.ai (API Security & Observability) integration everywhere
Built-in streaming UI primitives let you display Levo.ai (API Security & Observability) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Levo.ai (API Security & Observability) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Levo.ai (API Security & Observability) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Levo.ai (API Security & Observability) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Levo.ai (API Security & Observability) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Levo.ai (API Security & Observability) through natural language queries
Levo.ai (API Security & Observability) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Levo.ai (API Security & Observability) to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Levo.ai (API Security & Observability) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLevo.ai (API Security & Observability) + Vercel AI SDK FAQ
Common questions about integrating Levo.ai (API Security & Observability) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Levo.ai (API Security & Observability) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Levo.ai (API Security & Observability) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.