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Sapling (Kallidus) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sapling (Kallidus) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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 Sapling (Kallidus), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Sapling (Kallidus)
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* 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 Sapling (Kallidus) MCP Server

Empower your AI agents with Sapling's (by Kallidus) HR and onboarding platform. This MCP server allows you to list and retrieve employee profiles, track onboarding and offboarding tasks, manage departments and teams, and view office locations directly through the Sapling API. Ideal for automating HR workflows and personnel management.

The Vercel AI SDK gives every Sapling (Kallidus) 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.

The Sapling (Kallidus) 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 Sapling (Kallidus) to Vercel AI SDK via MCP

Follow these steps to integrate the Sapling (Kallidus) MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Sapling (Kallidus) and passes them to the LLM

Why Use Vercel AI SDK with the Sapling (Kallidus) MCP Server

Vercel AI SDK provides unique advantages when paired with Sapling (Kallidus) through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sapling (Kallidus) integration everywhere

03

Built-in streaming UI primitives let you display Sapling (Kallidus) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Sapling (Kallidus) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Sapling (Kallidus) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Sapling (Kallidus) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Sapling (Kallidus) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Sapling (Kallidus) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Sapling (Kallidus) through natural language queries

Sapling (Kallidus) MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Sapling (Kallidus) to Vercel AI SDK via MCP:

01

get_account

Use to verify connection status and account settings. Retrieves details about your Sapling account

02

get_employee

Returns employment history, compensation details (if available), and custom attributes. Essential for deep intelligence on an individual team member. Retrieves details for a specific employee

03

list_departments

g., Engineering, HR, Sales) defined in Sapling. Useful for mapping the company structure. Lists all departments

04

list_employees

Returns names, emails, and internal IDs. Use this as the main starting point for HR auditing or personnel lookups. Lists all employees in Sapling

05

list_groups

Lists all custom employee groups

06

list_job_titles

Useful for standardized role auditing. Lists all configured job titles

07

list_locations

Useful for auditing site-based employee distribution. Lists all office locations

08

list_offboarding_tasks

Essential for ensuring secure and compliant offboarding workflows. Lists all offboarding tasks

09

list_onboarding_tasks

Essential for monitoring the progress of new hire integrations. Lists all onboarding tasks

10

list_teams

Useful for understanding internal team organization beyond departments. Lists all internal teams

Example Prompts for Sapling (Kallidus) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sapling (Kallidus) immediately.

01

"List all active employees in Sapling."

02

"Show me the onboarding tasks for new hires."

03

"Get details for employee ID '123'."

Troubleshooting Sapling (Kallidus) MCP Server with Vercel AI SDK

Common issues when connecting Sapling (Kallidus) to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Sapling (Kallidus) + Vercel AI SDK FAQ

Common questions about integrating Sapling (Kallidus) MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.

Connect Sapling (Kallidus) to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.