CrowdSec MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 3 tools to Get Cti Smoke, Get Decisions, Get Decisions Stream
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CrowdSec 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 for Vercel AI SDK
The CrowdSec MCP Server for Vercel AI SDK is a standout in the Fort Knox category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CrowdSec, 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 CrowdSec MCP Server
Connect your CrowdSec security engine to any AI agent to take full control of your threat intelligence and network defense through natural conversation.
The Vercel AI SDK gives every CrowdSec tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Local Decisions — Query your Local API (LAPI) for active blocks or decisions on specific IPs, ranges, or scopes to understand current local threats.
- Decision Streaming — Poll for real-time updates on new and deleted decisions from your local database to keep your security context synchronized.
- Global CTI Reputation — Fetch global IP reputation data, behaviors, and classifications from the CrowdSec Community Threat Intelligence (CTI) network.
- Security Auditing — Inspect metadata and classifications for suspicious actors directly from your command interface or code editor.
The CrowdSec MCP Server exposes 3 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 CrowdSec tools available for Vercel AI SDK
When Vercel AI SDK connects to CrowdSec through Vinkius, your AI agent gets direct access to every tool listed below — spanning threat-intelligence, firewall-management, ip-reputation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get cti smoke on CrowdSec
Get CTI reputation for an IP
Get decisions on CrowdSec
Query CrowdSec LAPI for decisions
Get decisions stream on CrowdSec
Poll for new and deleted decisions from LAPI
Connect CrowdSec to Vercel AI SDK via MCP
Follow these steps to wire CrowdSec into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CrowdSec MCP Server
Vercel AI SDK provides unique advantages when paired with CrowdSec 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 CrowdSec integration everywhere
Built-in streaming UI primitives let you display CrowdSec 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
CrowdSec + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CrowdSec MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CrowdSec in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CrowdSec tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CrowdSec capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CrowdSec through natural language queries
Example Prompts for CrowdSec in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CrowdSec immediately.
"Check if there are any active decisions for IP 1.2.3.4 in our local CrowdSec database."
"Get the latest stream of decisions from CrowdSec to see recent blocks."
"What is the global reputation of IP 185.220.101.101 according to CrowdSec CTI?"
Troubleshooting CrowdSec MCP Server with Vercel AI SDK
Common issues when connecting CrowdSec to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCrowdSec + Vercel AI SDK FAQ
Common questions about integrating CrowdSec 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.Explore More MCP Servers
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