Socket.dev (Dependency Security) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Scan, Delete Scan, Get Package Issues, and more

Name: Socket.dev (Dependency Security)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Socket.dev (Dependency Security) 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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The Socket.dev (Dependency Security) MCP Server for Vercel AI SDK is a standout in the Fort Knox category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript

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 Socket.dev (Dependency Security), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Socket.dev (Dependency Security) MCP Server

Connect Socket.dev to your AI agent to proactively defend against supply chain attacks. This MCP server allows you to analyze open-source packages, scan manifest files, and monitor for malicious dependencies without leaving your development environment.

The Vercel AI SDK gives every Socket.dev (Dependency Security) 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

Package Analysis — Get deep security scores and identify issues for specific packages using PURLs (e.g., npm, PyPI, Go).
Dependency Scanning — Upload manifest files like package.json or requirements.txt to create comprehensive security scans.
Report Management — List and retrieve detailed security reports, including policy compliance and alert data.
Threat Intelligence — Access a real-time feed of malicious packages detected by Socket's analysis engine.
Organization Oversight — Manage scans across different organizations and monitor your API usage quotas.

The Socket.dev (Dependency Security) MCP Server exposes 10 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 10 Socket.dev (Dependency Security) tools available for Vercel AI SDK

When Vercel AI SDK connects to Socket.dev (Dependency Security) through Vinkius, your AI agent gets direct access to every tool listed below — spanning supply-chain-security, dependency-scanning, open-source-security, 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.

create

Create scan on Socket.dev (Dependency Security)

Provide manifest files data (e.g., package.json, requirements.txt). Create a new scan by uploading manifest files

delete

Delete scan on Socket.dev (Dependency Security)

Delete a scan

get

Get package issues on Socket.dev (Dependency Security)

g., pkg:npm/babel). Get issues/alerts for a specific package

get

Get package score on Socket.dev (Dependency Security)

g., pkg:npm/babel). Get the security score for a specific package

get

Get quota on Socket.dev (Dependency Security)

Check remaining API quota

get

Get report on Socket.dev (Dependency Security)

Get detailed report data

get

Get scan on Socket.dev (Dependency Security)

Get scan metadata and status

get

Get threat feed on Socket.dev (Dependency Security)

Access the real-time threat feed

list

List organizations on Socket.dev (Dependency Security)

List organizations the token has access to

list

List reports on Socket.dev (Dependency Security)

List reports

Connect Socket.dev (Dependency Security) to Vercel AI SDK via MCP

Follow these steps to wire Socket.dev (Dependency Security) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Socket.dev (Dependency Security) and passes them to the LLM

Why Use Vercel AI SDK with the Socket.dev (Dependency Security) MCP Server

Vercel AI SDK provides unique advantages when paired with Socket.dev (Dependency Security) 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 Socket.dev (Dependency Security) integration everywhere

Built-in streaming UI primitives let you display Socket.dev (Dependency Security) 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

Socket.dev (Dependency Security) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Socket.dev (Dependency Security) MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Socket.dev (Dependency Security) in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Socket.dev (Dependency Security) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Socket.dev (Dependency Security) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Socket.dev (Dependency Security) through natural language queries

Example Prompts for Socket.dev (Dependency Security) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Socket.dev (Dependency Security) immediately.

"Check the security score for the npm package 'axios'."

"List all security reports for my organization."

"Show me the real-time threat feed from Socket."

Troubleshooting Socket.dev (Dependency Security) MCP Server with Vercel AI SDK

Common issues when connecting Socket.dev (Dependency Security) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Socket.dev (Dependency Security) + Vercel AI SDK FAQ

Common questions about integrating Socket.dev (Dependency Security) MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import 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?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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