Salary.com API MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Salary.com API 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 Salary.com API, 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 Salary.com API MCP Server
Empower your AI agent to orchestrate your entire compensation research and career auditing workflow with Salary.com, the authoritative source for salary data. By connecting the Salary.com API to your agent, you transform complex benchmark lookups into a natural conversation. Your agent can instantly retrieve salary ranges for thousands of job titles, audit market trends, and search for open positions without you ever touching a technical portal. Whether you are managing payroll budgets or planning your next career move, your agent acts as a real-time compensation analyst, ensuring your data is always grounded in verified, high-quality market records.
The Vercel AI SDK gives every Salary.com API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Compensation Auditing — Retrieve high-resolution salary benchmarks for any job title and location, including base salary and percentile metadata.
- Job Oversight — Search for open job positions and retrieve detailed descriptions and requirements to maintain a clear view of the market.
- Trend Intelligence — Query salary market trends to understand the trajectory of compensation for specific roles instantly.
- Career Discovery — List all available job categories in the Salary.com catalog to identify relevant paths for your research.
- Operational Monitoring — Check API status to ensure your compensation research workflow is always operational.
The Salary.com API MCP Server exposes 6 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 Salary.com API to Vercel AI SDK via MCP
Follow these steps to integrate the Salary.com API 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 6 tools from Salary.com API and passes them to the LLM
Why Use Vercel AI SDK with the Salary.com API MCP Server
Vercel AI SDK provides unique advantages when paired with Salary.com API 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 Salary.com API integration everywhere
Built-in streaming UI primitives let you display Salary.com API 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
Salary.com API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Salary.com API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Salary.com API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Salary.com API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Salary.com API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Salary.com API through natural language queries
Salary.com API MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Salary.com API to Vercel AI SDK via MCP:
check_api_status
com API is operational. Check if the Salary.com API is operational
get_job_details
Get full details for a specific job ID
get_salary_benchmark
Get salary benchmarks for a job title and location
get_salary_market_trends
Get market salary trends for a specific job title
list_job_categories
List all available job categories
search_jobs
Search for open jobs by keyword and location
Example Prompts for Salary.com API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Salary.com API immediately.
"What is the average salary for a 'Product Manager' in 'Austin, TX' using Salary.com?"
"Find open 'Software Engineer' jobs in 'San Francisco'."
"Show salary trends for 'Data Scientist' roles."
Troubleshooting Salary.com API MCP Server with Vercel AI SDK
Common issues when connecting Salary.com API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSalary.com API + Vercel AI SDK FAQ
Common questions about integrating Salary.com API 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 Salary.com API 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 Salary.com API to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.