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How to Use the Sapling (Kallidus) MCP in Vercel AI SDK

Stream Sapling (Kallidus) HR data directly into your React or Next.js UIs using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Sapling (Kallidus) MCP on Cursor AI Code Editor MCP Client Sapling (Kallidus) MCP on Claude Desktop App MCP Integration Sapling (Kallidus) MCP on OpenAI Agents SDK MCP Compatible Sapling (Kallidus) MCP on Visual Studio Code MCP Extension Client Sapling (Kallidus) MCP on GitHub Copilot AI Agent MCP Integration Sapling (Kallidus) MCP on Google Gemini AI MCP Integration Sapling (Kallidus) MCP on Lovable AI Development MCP Client Sapling (Kallidus) MCP on Mistral AI Agents MCP Compatible Sapling (Kallidus) MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Sapling (Kallidus) MCP to Vercel AI SDK

Create your Vinkius account to connect Sapling (Kallidus) to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream Onboarding Tasks to React

The `list_onboarding_tasks` tool pulls the exact status of new hire integrations directly from the API. Your AI client can grab this data while Vercel AI SDK streams the progress live to your dashboard. You don't have to wait for the entire payload to finish. Users see the checklist populate in real-time as the MCP Server fetches task updates.

Build Live Org Charts

The `list_employees` tool grabs names, emails, and internal IDs for everyone in the company. Pass this to `get_employee` to pull employment history and compensation details for specific individuals. Combine these with `list_departments` and `list_teams` to generate interactive organizational maps. The streaming text function renders the hierarchy instantly in your Svelte or Vue frontend.

Render Offboarding Status Instantly

The `list_offboarding_tasks` tool acts as the source of truth for compliance checks when someone leaves the company. You hook this up to your Edge functions to verify access revocations. Your frontend displays the remaining security tasks live. HR managers see exactly what needs doing without refreshing the page or waiting for a slow backend response.

Setup guide

Set up Sapling (Kallidus) MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Sapling (Kallidus) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Sapling (Kallidus) transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sapling. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Sapling (Kallidus) MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient`. Point the transport URL to your Vinkius endpoint and call `mcpClient.tools()` to pass the HR tools to `streamText`.
Yes. Call the employee tools and the SDK will stream the JSON or text response straight to the client. You avoid loading spinners completely.
It runs perfectly on the Edge. You just need to ensure you close the connection with `mcpClient.close()` after the HR query finishes.
You pass your Vinkius endpoint token in the HTTP transport configuration. The MCP protocol handles the actual API routing securely behind the scenes.
This server reads highly sensitive employment history, compensation details, and personal emails. The V8 Isolate Sandbox ensures this HR data is processed ephemerally and never stored on disk.

Start using the Sapling (Kallidus) MCP today

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