Snyk MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Snyk through the 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 Snyk, 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 Snyk MCP Server
Connect your Snyk security dashboard natively to your preferred AI agent. Speed up your DevSecOps workflow by diagnosing and investigating package vulnerabilities via natural language. Rather than jumping between browser tabs trying to locate a specific CVE report, query your organizational vulnerability footprint dynamically through MCP.
The Vercel AI SDK gives every Snyk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the 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
- Project Surveillance — Discover application projects via
list_projectsand fetch internal configurations callingget_project_details - Vulnerability Hunting — Expose specific codebase flaws instantly with
list_issues, extracting actionable remediation steps queryingget_issue_details - Company Operations — Traverse hierarchical structures via
list_organizationsand see who contributes usinglist_organization_members - Admin Controls — Monitor API connectivity invoking
list_integrationsand check scan caps viaget_usage_statsandget_billing_info
The Snyk MCP Server exposes 9 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 Snyk to Vercel AI SDK via MCP
Follow these steps to integrate the Snyk 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 9 tools from Snyk and passes them to the LLM
Why Use Vercel AI SDK with the Snyk MCP Server
Vercel AI SDK provides unique advantages when paired with Snyk 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 Snyk integration everywhere
Built-in streaming UI primitives let you display Snyk 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
Snyk + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Snyk MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Snyk in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Snyk tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Snyk capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Snyk through natural language queries
Snyk MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Snyk to Vercel AI SDK via MCP:
get_billing_info
Retrieves billing details for an organization
get_issue_details
Retrieves details for a specific security issue
get_project_details
Retrieves details for a specific project
get_usage_stats
Retrieves usage statistics
list_integrations
Lists active integrations for an organization
list_issues
Lists security issues for a specific project
list_organization_members
Lists all members of a Snyk organization
list_organizations
Lists all Snyk organizations
list_projects
Lists all projects in a specific organization
Example Prompts for Snyk in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Snyk immediately.
"Check Snyk and summarize all critical security vulnerabilities currently found in the main backend project."
"Display our organization's current integration links on Snyk. What are we attached to?"
"Draw a markdown table checking the team member roles in the DevOps organization."
Troubleshooting Snyk MCP Server with Vercel AI SDK
Common issues when connecting Snyk to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSnyk + Vercel AI SDK FAQ
Common questions about integrating Snyk 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 Snyk 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 Snyk to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.