Veracode 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 Veracode 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 Veracode, 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 Veracode MCP Server
Equip your AI agent with complete read and write access to your Veracode ecosystem. Seamlessly blend application security posture management alongside your typical development workflow using entirely conversational AI.
The Vercel AI SDK gives every Veracode 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
- Unified Vulnerability Tracing — Ask the agent to list Open security findings or mitigation statuses spanning across Static (SAST), Dynamic (DAST), and Component (SCA) analytics per application.
- Deep Flaw Details — Input specific Finding IDs and let the bot explain the underlying CWE error, affected code strings, severity ratings, and automated remediation tutorials.
- Portfolio AppSec Management — List tracked applications, create novel application profiles on the fly before a commit, or request health checks mapping sandbox testing environments.
- Dynamic Scan Queries — Poll your AI intuitively ensuring it retrieves the real-time execution bounds of your scheduled Web Application Security runtime scenarios.
The Veracode 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 Veracode to Vercel AI SDK via MCP
Follow these steps to integrate the Veracode 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 Veracode and passes them to the LLM
Why Use Vercel AI SDK with the Veracode MCP Server
Vercel AI SDK provides unique advantages when paired with Veracode 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 Veracode integration everywhere
Built-in streaming UI primitives let you display Veracode 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
Veracode + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Veracode MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Veracode in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Veracode tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Veracode capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Veracode through natural language queries
Veracode MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Veracode to Vercel AI SDK via MCP:
create_application
Provide the app schema and profile name as a JSON string. Create a new Veracode application profile container
delete_application
This action is irreversible. Delete a Veracode application permanently
get_api_health
Check the health of Veracode connection
get_application_details
Information includes its Veracode compliance policy status, business criticality rating, deployment state, and risk scores. Get a detailed profile of a Veracode application
get_finding_details
Explains the vulnerability type (CWE), affected source file, code path, and remediation guidance. Get precise vulnerability details for a specific flaw/finding
list_applications
Most structural entities return a globally unique GUID which is required for sub-resource lookups. List all Veracode AppSec Applications
list_dynamic_analyses
List configured Dynamic Analysis (DAST) scans
list_sandboxes
List all testing sandboxes linked to an application
list_security_findings
Retrieve the unified security findings for an application
list_veracode_users
Used to manage RBAC roles. List authorized Veracode identity users
Example Prompts for Veracode in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Veracode immediately.
"List all applications currently monitored in our Veracode account."
"Get the detailed security profile for the application GUID 'f3b9...'."
"Explain finding ID '89' from that app and how to fix it."
Troubleshooting Veracode MCP Server with Vercel AI SDK
Common issues when connecting Veracode to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVeracode + Vercel AI SDK FAQ
Common questions about integrating Veracode 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 Veracode 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 Veracode to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.