How do I get Sapling API credentials?

Log in to your Sapling account and navigate to the API settings in your admin dashboard to generate an API Key.

Does it support onboarding and offboarding tasks?

Yes, you can list both onboarding and offboarding tasks using the corresponding tools in this MCP.

Can I see employee profiles?

Yes, the list_employees and get_employee tools provide access to comprehensive personnel data.

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

Name: Sapling (Kallidus)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sapling (Kallidus) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Sapling (Kallidus) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Sapling (Kallidus)?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Sapling (Kallidus) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

The Sapling (Kallidus) MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Sapling (Kallidus) with type-safe schemas

Why Use Pydantic AI with the Sapling (Kallidus) MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Sapling (Kallidus) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Sapling (Kallidus) connection logic from agent behavior for testable, maintainable code

Sapling (Kallidus) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Sapling (Kallidus) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Sapling (Kallidus) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Sapling (Kallidus) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Sapling (Kallidus) responses and write comprehensive agent tests

Sapling (Kallidus) MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Sapling (Kallidus) to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Sapling (Kallidus) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Sapling (Kallidus) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.