Jaicob MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Candidate, List Applications, List Candidates, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jaicob 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 App Connector for Vercel AI SDK
The Jaicob app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Jaicob, 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 Jaicob MCP Server
Connect your Jaicob account to any AI agent and leverage AI capabilities through natural conversation.
The Vercel AI SDK gives every Jaicob tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Text Generation — Generate content based on prompts with customizable parameters
- Content Analysis — Analyze text for sentiment, topics, and key insights
- Translation — Translate content between languages
- Summarization — Condense documents and long text into concise summaries
- Data Extraction — Extract structured data from unstructured text
The Jaicob 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.
All 6 Jaicob tools available for Vercel AI SDK
When Vercel AI SDK connects to Jaicob through Vinkius, your AI agent gets direct access to every tool listed below — spanning text-generation, sentiment-analysis, summarization, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new candidate profile
List job applications
List all candidates in Jaicob
List client organizations
List recruitment leads
List all job vacancies
Connect Jaicob to Vercel AI SDK via MCP
Follow these steps to wire Jaicob into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Jaicob MCP Server
Vercel AI SDK provides unique advantages when paired with Jaicob 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 Jaicob integration everywhere
Built-in streaming UI primitives let you display Jaicob 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
Jaicob + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jaicob MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jaicob in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jaicob tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jaicob capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jaicob through natural language queries
Example Prompts for Jaicob in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jaicob immediately.
"Generate a product description for a SaaS analytics tool and analyze its sentiment."
"Summarize this 5-page report and translate the summary to Portuguese."
"Extract key entities and data points from this customer feedback text."
Troubleshooting Jaicob MCP Server with Vercel AI SDK
Common issues when connecting Jaicob to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJaicob + Vercel AI SDK FAQ
Common questions about integrating Jaicob 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.