Sapling (Kallidus) 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 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.
ASK AI ABOUT THIS MCP SERVER
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 Sapling (Kallidus), 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 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.
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 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.
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 Sapling (Kallidus) integration everywhere
Built-in streaming UI primitives let you display Sapling (Kallidus) 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
Sapling (Kallidus) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sapling (Kallidus) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sapling (Kallidus) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sapling (Kallidus) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sapling (Kallidus) capabilities into conversational interfaces with streaming responses and tool call visibility
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:
get_account
Use to verify connection status and account settings. Retrieves details about your Sapling account
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
list_departments
g., Engineering, HR, Sales) defined in Sapling. Useful for mapping the company structure. Lists all departments
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
list_groups
Lists all custom employee groups
list_job_titles
Useful for standardized role auditing. Lists all configured job titles
list_locations
Useful for auditing site-based employee distribution. Lists all office locations
list_offboarding_tasks
Essential for ensuring secure and compliant offboarding workflows. Lists all offboarding tasks
list_onboarding_tasks
Essential for monitoring the progress of new hire integrations. Lists all onboarding tasks
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.
"List all active employees in Sapling."
"Show me the onboarding tasks for new hires."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpSapling (Kallidus) + Vercel AI SDK FAQ
Common questions about integrating Sapling (Kallidus) 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 Sapling (Kallidus) 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 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.
