How to integrate Sap successfactors MCP with Pydantic AI

This guide walks you through connecting Sap successfactors to Pydantic AI using the Composio tool router. By the end, you'll have a working Sap successfactors agent that can show your current employee profile details, check your job title and department info, display your contact information in successfactors through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Sap successfactors account through Composio's Sap successfactors MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Sap successfactors is a cloud-based human capital management suite for HR, payroll, recruiting, and talent management. It helps organizations centralize employee data and streamline the entire employee lifecycle.

64 Tools

Introduction

This guide walks you through connecting Sap successfactors to Pydantic AI using the Composio tool router. By the end, you'll have a working Sap successfactors agent that can show your current employee profile details, check your job title and department info, display your contact information in successfactors through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Sap successfactors account through Composio's Sap successfactors MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Sap successfactors with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Sap successfactors
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Sap successfactors workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Sap successfactors MCP server, and what's possible with it?

The Sap successfactors MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sap successfactors account. It provides structured and secure access to your HR data, so your agent can retrieve user information, access employee details, and drive workforce automation on your behalf.

  • Current user profile retrieval: Instantly fetch the authenticated user's profile and access up-to-date information about their SAP SuccessFactors account.
  • Employee data access: Allow your agent to securely obtain details about employees, enabling streamlined HR and workforce management workflows.
  • Personalized onboarding support: Use user data to personalize onboarding experiences, helping new hires get up to speed faster with relevant, contextual information.
  • Automated reporting: Enable your agent to pull user-related reports or summaries, supporting HR analytics and decision-making.
  • Seamless integration with enterprise HR processes: Connect user data to other HR tools or workflows, making it easier to automate tasks like leave approvals or performance tracking.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Sap successfactors
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Sap successfactors
  • MCPServerStreamableHTTP connects to the Sap successfactors MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Sap successfactors
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["sap_successfactors"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Sap successfactors tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
sap_successfactors_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[sap_successfactors_mcp],
    instructions=(
        "You are a Sap successfactors assistant. Use Sap successfactors tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Sap successfactors endpoint
  • The agent uses GPT-5 to interpret user commands and perform Sap successfactors operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Sap successfactors.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Sap successfactors API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Sap successfactors and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Sap successfactors
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["sap_successfactors"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    sap_successfactors_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[sap_successfactors_mcp],
        instructions=(
            "You are a Sap successfactors assistant. Use Sap successfactors tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Sap successfactors.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Sap successfactors through Composio's Tool Router. With this setup, your agent can perform real Sap successfactors actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Sap successfactors for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Sap successfactors action and event your agent gets out of the box.

Approve Calibration Session

Finalize a calibration session that is in the In Progress or Approving status.

Create a Feedback Request

Create a feedback request in SAP SuccessFactors Continuous Feedback.

Create Learning Activities Bulk

Create learning activities and associate them with development goals in bulk (requires third-party LMS integration).

Create Onboardee

Creates a new onboardee in SAP SuccessFactors Onboarding 2.

Create or Update Successor Nomination

Create or update a successor nomination for a position or talent pool in succession planning.

Delete Nomination

Delete a nomination for a position or talent pool in succession planning.

Get Application Interview

Retrieves interview information related to job applications from Interview Central.

Get Background Education

Tool to retrieve background education records for employees from SAP SuccessFactors.

Get Background Mobility

Retrieves mobility background records showing employee willingness to relocate.

Get Calibration Session By ID

Get a specific calibration session by session ID.

Get Calibration Sessions

Query all the calibration sessions that a user can access.

Get Calibration Subject By ID

Query a specific subject's competency ratings and ratings within a calibration session.

Get Calibration Subject Ratings

Query a subject's ratings, competency ratings, and comments by using session ID.

Get CDP Learning Metadata

Get metadata for Career Development Planning Learning service.

Get Current User

Retrieves the currently authenticated user's information from SAP SuccessFactors.

Get Custom MDF Object

Tool to retrieve custom MDF (Metadata Framework) objects from SAP SuccessFactors.

Get Employee Employment Termination

Retrieves employee termination information records from SAP SuccessFactors.

Get Employee Time

Retrieves employee time entries including time off records from SAP SuccessFactors.

Get Employee Timesheet

Retrieves employee timesheet records for attendances, overtime, on-call times, and allowances.

Get Non-Recurring Pay Components

Tool to retrieve non-recurring pay component information including bonuses and one-time payments from SAP SuccessFactors.

Get Recurring Pay Components

Tool to retrieve recurring pay component information including salary and benefits data from SAP SuccessFactors.

Get Feedback Records

Tool to retrieve continuous feedback records from SAP SuccessFactors Performance and Goals module using OData V4 protocol.

Get FOBusinessUnit

Retrieves foundation object business unit records for organizational structure hierarchy.

Get FOCompany Records

Retrieves foundation object company records from SAP SuccessFactors.

Get Foundation Object Cost Centers

Retrieves foundation object cost center records for organizational structure.

Get FODepartment Records

Tool to retrieve foundation object department records from SAP SuccessFactors.

Get Foundation Object Job Codes

Retrieves foundation object job code records containing job classification information.

Get Job Functions

Tool to retrieve foundation object job function records for categorizing job roles.

Get Foundation Object Location

Tool to retrieve foundation object location records for work locations.

Get FOPayGroup

Retrieves foundation object pay group records for compensation and payroll groupings.

Get Form Content

Retrieves performance form content from SAP SuccessFactors.

Get Goal Plan Template

Retrieves goal plan template information from SAP SuccessFactors.

Get Goals By Plan

Retrieves performance goals data using the goal plan ID.

Get Interview Overall Assessment

Tool to retrieve overall interview ratings and navigation for assessments from Interview Central.

Get Job Application

Retrieves job application records linking candidates to job requisitions.

Get Job Requisition Screening Questions

Tool to retrieve screening questions related to job requisitions from SAP SuccessFactors Recruiting.

Get Job Requisition

Tool to retrieve job requisition records from SAP SuccessFactors Recruiting Management.

Get Calibration Session Metadata

Get OData metadata for Calibration Session service.

Get Clock In/Out Integration Metadata

Get OData metadata for Clock In/Clock Out Integration service.

Get Nomination Service Metadata

Get OData metadata for Nomination service.

Get Onboarding Additional Services Metadata

Get OData metadata for Onboarding Additional Services.

Get User Entity Metadata

Retrieves the OData metadata document for the User entity describing its properties and operations.

Get Onboarding 2.0 Processes

Tool to retrieve Onboarding 2.

Get Pending Feedback Requests

Tool to retrieve pending feedback requests or feedback request records from SAP SuccessFactors Continuous Feedback.

Get Personal Information Records

Tool to retrieve personal information records from SAP SuccessFactors Employee Central.

Get Person by ID

Tool to retrieve person information for an employee by their external person ID.

Get Picklist

Tool to retrieve picklist definitions from SAP SuccessFactors.

Get Picklist Option

Retrieves picklist option values with localized labels from SAP SuccessFactors.

Get Position

Retrieves position management records from SAP SuccessFactors Employee Central.

Get Talent Pool

Retrieves talent pool records including members and nomination details.

Get Temporary Time Information

Retrieves temporary time information records from Time Management module.

Get Time Account Snapshot

Retrieves time account snapshot data for leave liability calculation and payroll.

Get Work Order

Tool to retrieve work order records for contingent worker management from SAP SuccessFactors.

Give Feedback or Respond to Feedback Request

Tool to give performance feedback or respond to a feedback request in SAP SuccessFactors Continuous Performance Management.

List Candidates

Tool to retrieve a list of candidates from SAP SuccessFactors.

List Employee Employment Records

Tool to retrieve a list of all employment records from SAP SuccessFactors.

List Person Records

Tool to retrieve a list of person records from SAP SuccessFactors Employee Central.

List Users

Tool to retrieve a list of all employee users from SAP SuccessFactors.

Query All Available Clock In/Clock Out Groups

Query all available clock in/clock out groups.

Query Clock In/Clock Out Group By Code

Query a clock in/clock out group by code with time event types.

Refresh CDP Learning Metadata

Refresh metadata for Career Development Planning Learning service.

Refresh Metadata for Continuous Feedback

Refresh metadata cache for Continuous Feedback service.

Update Calibration Subject Ratings

Update a subject's competency ratings in a calibration session.

Update Username Post Hiring

Update the internal username of new hires after hiring process is completed from Active Directory.

FRAMEWORKS

How to build Sap successfactors MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Sap successfactors MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Sap successfactors MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Sap successfactors MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Sap successfactors MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Sap successfactors MCP with Claude Cowork

Codex logo

Codex

Use Sap successfactors MCP with Codex

Cursor logo

Cursor

Use Sap successfactors MCP with Cursor

OpenClaw logo

OpenClaw

Use Sap successfactors MCP with OpenClaw

Hermes logo

Hermes

Use Sap successfactors MCP with Hermes

CLI logo

CLI

Use Sap successfactors MCP with CLI

Google ADK logo

Google ADK

Use Sap successfactors MCP with Google ADK

LangChain logo

LangChain

Use Sap successfactors MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Sap successfactors MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Sap successfactors MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Sap successfactors MCP with LlamaIndex

CrewAI logo

CrewAI

Use Sap successfactors MCP with CrewAI

OpenCode logo

OpenCode

Use Sap successfactors MCP with OpenCode

VS Code logo

VS Code

Use Sap successfactors MCP with VS Code

FAQ

Frequently asked questions

With a standalone Sap successfactors MCP server, the agents and LLMs can only access a fixed set of Sap successfactors tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Sap successfactors and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Sap successfactors tools.

Yes, absolutely. You can configure which Sap successfactors scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Sap successfactors data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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