Salt Security 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 Salt Security 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 Salt Security, 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 Salt Security MCP Server
Connect your AI directly with Salt Security to proactively defend your Application Programming Interface (API) environment. Improve API discovery, manage security posture, and remediate threats in real-time through simple conversational prompts.
The Vercel AI SDK gives every Salt Security tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- API Inventory & Discovery — View all auto-discovered APIs in your environment, including unknown or shadow APIs (
get_inventory). Retrieve schema details, identify exposed sensitive data (PII), and analyze structural drifts (get_endpoint). - Threat Intelligence & Monitoring — Monitor active API attacks and business logic abuses as they happen (
get_attacks). Profile known threat actors to uncover behavioral patterns (get_attackers). - Active Remediation — Respond to incidents immediately by triggering blockade commands against attackers, seamlessly passing instructions to your integrated WAFs (
block_attacker). - Posture & Governance Assessment — Identify design flaws and vulnerabilities before they reach production (
get_posture_vulnerabilities). Manage OpenAPI (OAS) specifications (list_oas_specs,upload_oas_spec) and verify active governance rules (get_governance_policies).
The Salt Security 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 Salt Security to Vercel AI SDK via MCP
Follow these steps to integrate the Salt Security 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 Salt Security and passes them to the LLM
Why Use Vercel AI SDK with the Salt Security MCP Server
Vercel AI SDK provides unique advantages when paired with Salt 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 Salt Security integration everywhere
Built-in streaming UI primitives let you display Salt 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
Salt Security + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salt Security MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salt Security in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salt Security tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salt Security capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salt Security through natural language queries
Salt Security MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Salt Security to Vercel AI SDK via MCP:
block_attacker
Issues a command to block a specific attacker
get_attackers
Lists known threat actors profiled by Salt
get_attacks
Lists detected malicious API attacks
get_endpoint
Retrieves details for a specific API endpoint
get_governance_policies
Lists active API governance rules
get_inventory
Retrieves the auto-discovered API inventory
get_posture_vulnerabilities
Retrieves identified pre-production design flaws
get_system_health
Checks the health of traffic mirror ingestion
list_oas_specs
Lists all uploaded OpenAPI specifications
upload_oas_spec
Uploads a new OAS/Swagger specification
Example Prompts for Salt Security in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salt Security immediately.
"List all auto-discovered APIs including shadow and zombie APIs in our infrastructure."
"Are we facing any recent attacks aimed at business logic?"
"Block attacker 'ATT-992' immediately."
Troubleshooting Salt Security MCP Server with Vercel AI SDK
Common issues when connecting Salt Security to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalt Security + Vercel AI SDK FAQ
Common questions about integrating Salt Security 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 Salt Security 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 Salt Security to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.