Wallarm 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 Wallarm through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Wallarm, 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 Wallarm MCP Server
Connect your Wallarm account to any AI agent and secure your API infrastructure through natural conversation.
The Vercel AI SDK gives every Wallarm 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
- Security Attacks — Monitor and search for active security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)
- Granular Hits — Perform deep forensics by searching for individual malicious HTTP request hits with full payloads
- Vulnerability Management — List and triage security vulnerabilities discovered in live API traffic directly from your agent
- API Inventory — Retrieve the automatically discovered API inventory to see all exposed endpoints and methods
- Filtering Nodes — Verify the health and heartbeat status of your deployed WAF and API gateway filtering nodes
- IP Control — Audit and manage IP allowlist/denylist rules to immediately block malicious sources or allow trusted partners
- Remediation Guidance — Access comprehensive diagnostic data and CWE mappings for specific vulnerabilities
The Wallarm 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 Wallarm to Vercel AI SDK via MCP
Follow these steps to integrate the Wallarm 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 Wallarm and passes them to the LLM
Why Use Vercel AI SDK with the Wallarm MCP Server
Vercel AI SDK provides unique advantages when paired with Wallarm 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 Wallarm integration everywhere
Built-in streaming UI primitives let you display Wallarm 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
Wallarm + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wallarm MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wallarm in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wallarm tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wallarm capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wallarm through natural language queries
Wallarm MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Wallarm to Vercel AI SDK via MCP:
create_ip_acl_rule
list_type must be "white" or "black". Adds an IP or CIDR range to the global allowlist or denylist
get_client_info
Retrieves details about the Wallarm account, subscription, and feature status
get_discovered_api_inventory
Retrieves the API inventory automatically discovered through passive traffic analysis
get_vulnerability_details
Retrieves comprehensive diagnostic data and exploit evidence for a specific vulnerability ID
list_filtering_nodes
Lists all deployed Wallarm WAF/API gateway filtering nodes
list_ip_acl_rules
Lists configured IP allowlist and denylist rules
search_security_attacks
Searches for security attacks detected by Wallarm, grouped by vector (SQLi, XSS, etc.)
search_security_hits
Shows full request headers and payloads for blocked traffic. Searches for granular individual malicious HTTP request hits intercepted by WAF nodes
search_vulnerabilities
Lists all open security vulnerabilities discovered in live API traffic
update_vulnerability_status
Valid statuses: open, closed, falsepositive. Changes the lifecycle status of a vulnerability (e.g., mark as closed or false positive)
Example Prompts for Wallarm in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wallarm immediately.
"List all security attacks detected in the last hour."
"Block the malicious IP address 1.2.3.4 immediately."
"What vulnerabilities are currently open in our production API?"
Troubleshooting Wallarm MCP Server with Vercel AI SDK
Common issues when connecting Wallarm to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWallarm + Vercel AI SDK FAQ
Common questions about integrating Wallarm 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 Wallarm 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 Wallarm to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.