How to integrate Sap successfactors MCP with Autogen

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Introduction

This guide walks you through connecting Sap successfactors to AutoGen 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 AutoGen 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Sap successfactors
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Sap successfactors tools
  • Run a live chat loop where you ask the agent to perform Sap successfactors operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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.

Supported Tools & Triggers

Tools
Approve Calibration SessionFinalize a calibration session that is in the In Progress or Approving status.
Create a Feedback RequestCreate a feedback request in SAP SuccessFactors Continuous Feedback.
Create Learning Activities BulkCreate learning activities and associate them with development goals in bulk (requires third-party LMS integration).
Create OnboardeeCreates a new onboardee in SAP SuccessFactors Onboarding 2.
Create or Update Successor NominationCreate or update a successor nomination for a position or talent pool in succession planning.
Delete NominationDelete a nomination for a position or talent pool in succession planning.
Get Application InterviewRetrieves interview information related to job applications from Interview Central.
Get Background EducationTool to retrieve background education records for employees from SAP SuccessFactors.
Get Background MobilityRetrieves mobility background records showing employee willingness to relocate.
Get Calibration Session By IDGet a specific calibration session by session ID.
Get Calibration SessionsQuery all the calibration sessions that a user can access.
Get Calibration Subject By IDQuery a specific subject's competency ratings and ratings within a calibration session.
Get Calibration Subject RatingsQuery a subject's ratings, competency ratings, and comments by using session ID.
Get CDP Learning MetadataGet metadata for Career Development Planning Learning service.
Get Current UserRetrieves the currently authenticated user's information from SAP SuccessFactors.
Get Custom MDF ObjectTool to retrieve custom MDF (Metadata Framework) objects from SAP SuccessFactors.
Get Employee Employment TerminationRetrieves employee termination information records from SAP SuccessFactors.
Get Employee TimeRetrieves employee time entries including time off records from SAP SuccessFactors.
Get Employee TimesheetRetrieves employee timesheet records for attendances, overtime, on-call times, and allowances.
Get Non-Recurring Pay ComponentsTool to retrieve non-recurring pay component information including bonuses and one-time payments from SAP SuccessFactors.
Get Recurring Pay ComponentsTool to retrieve recurring pay component information including salary and benefits data from SAP SuccessFactors.
Get Feedback RecordsTool to retrieve continuous feedback records from SAP SuccessFactors Performance and Goals module using OData V4 protocol.
Get FOBusinessUnitRetrieves foundation object business unit records for organizational structure hierarchy.
Get FOCompany RecordsRetrieves foundation object company records from SAP SuccessFactors.
Get Foundation Object Cost CentersRetrieves foundation object cost center records for organizational structure.
Get FODepartment RecordsTool to retrieve foundation object department records from SAP SuccessFactors.
Get Foundation Object Job CodesRetrieves foundation object job code records containing job classification information.
Get Job FunctionsTool to retrieve foundation object job function records for categorizing job roles.
Get Foundation Object LocationTool to retrieve foundation object location records for work locations.
Get FOPayGroupRetrieves foundation object pay group records for compensation and payroll groupings.
Get Form ContentRetrieves performance form content from SAP SuccessFactors.
Get Goal Plan TemplateRetrieves goal plan template information from SAP SuccessFactors.
Get Goals By PlanRetrieves performance goals data using the goal plan ID.
Get Interview Overall AssessmentTool to retrieve overall interview ratings and navigation for assessments from Interview Central.
Get Job ApplicationRetrieves job application records linking candidates to job requisitions.
Get Job Requisition Screening QuestionsTool to retrieve screening questions related to job requisitions from SAP SuccessFactors Recruiting.
Get Job RequisitionTool to retrieve job requisition records from SAP SuccessFactors Recruiting Management.
Get Calibration Session MetadataGet OData metadata for Calibration Session service.
Get Clock In/Out Integration MetadataGet OData metadata for Clock In/Clock Out Integration service.
Get Nomination Service MetadataGet OData metadata for Nomination service.
Get Onboarding Additional Services MetadataGet OData metadata for Onboarding Additional Services.
Get User Entity MetadataRetrieves the OData metadata document for the User entity describing its properties and operations.
Get Onboarding 2.0 ProcessesTool to retrieve Onboarding 2.
Get Pending Feedback RequestsTool to retrieve pending feedback requests or feedback request records from SAP SuccessFactors Continuous Feedback.
Get Personal Information RecordsTool to retrieve personal information records from SAP SuccessFactors Employee Central.
Get Person by IDTool to retrieve person information for an employee by their external person ID.
Get PicklistTool to retrieve picklist definitions from SAP SuccessFactors.
Get Picklist OptionRetrieves picklist option values with localized labels from SAP SuccessFactors.
Get PositionRetrieves position management records from SAP SuccessFactors Employee Central.
Get Talent PoolRetrieves talent pool records including members and nomination details.
Get Temporary Time InformationRetrieves temporary time information records from Time Management module.
Get Time Account SnapshotRetrieves time account snapshot data for leave liability calculation and payroll.
Get Work OrderTool to retrieve work order records for contingent worker management from SAP SuccessFactors.
Give Feedback or Respond to Feedback RequestTool to give performance feedback or respond to a feedback request in SAP SuccessFactors Continuous Performance Management.
List CandidatesTool to retrieve a list of candidates from SAP SuccessFactors.
List Employee Employment RecordsTool to retrieve a list of all employment records from SAP SuccessFactors.
List Person RecordsTool to retrieve a list of person records from SAP SuccessFactors Employee Central.
List UsersTool to retrieve a list of all employee users from SAP SuccessFactors.
Query All Available Clock In/Clock Out GroupsQuery all available clock in/clock out groups.
Query Clock In/Clock Out Group By CodeQuery a clock in/clock out group by code with time event types.
Refresh CDP Learning MetadataRefresh metadata for Career Development Planning Learning service.
Refresh Metadata for Continuous FeedbackRefresh metadata cache for Continuous Feedback service.
Update Calibration Subject RatingsUpdate a subject's competency ratings in a calibration session.
Update Username Post HiringUpdate the internal username of new hires after hiring process is completed from Active Directory.

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

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Sap successfactors account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

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.

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Sap successfactors via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Sap successfactors connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Sap successfactors session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["sap_successfactors"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Sap successfactors tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Sap successfactors assistant agent with MCP tools
    agent = AssistantAgent(
        name="sap_successfactors_assistant",
        description="An AI assistant that helps with Sap successfactors operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Sap successfactors tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Sap successfactors related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Sap successfactors tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Sap successfactors session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["sap_successfactors"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Sap successfactors assistant agent with MCP tools
        agent = AssistantAgent(
            name="sap_successfactors_assistant",
            description="An AI assistant that helps with Sap successfactors operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Sap successfactors related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into Sap successfactors through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Sap successfactors, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Sap successfactors MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Sap successfactors MCP?

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.

Can I use Tool Router MCP with Autogen?

Yes, you can. Autogen 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.

Can I manage the permissions and scopes for Sap successfactors while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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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