How to integrate Sap successfactors MCP with LlamaIndex

This guide walks you through connecting Sap successfactors to LlamaIndex 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 LlamaIndex 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 LlamaIndex 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 LlamaIndex 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

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TL;DR

Here's what you'll learn:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Sap successfactors
  • Connect LlamaIndex to the Sap successfactors MCP server
  • Build a Sap successfactors-powered agent using LlamaIndex
  • Interact with Sap successfactors through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built 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 step10 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Sap successfactors account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and Sap successfactors

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID
3

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

  • @composio/llamaindex: Composio's LlamaIndex integration
  • @llamaindex/openai: OpenAI LLM integration
  • @llamaindex/tools: MCP client for LlamaIndex
  • @llamaindex/workflow: Workflow framework for LlamaIndex
  • dotenv: Environment variable management
4

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Sap successfactors access
5

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called sap successfactors_llamaindex_agent.ts and import the required modules:

Key imports:

  • dotenv.config loads .env at runtime
  • readline gives us a simple CLI chat loop
  • Composio is the main Composio SDK client
  • mcp connects to an MCP endpoint
  • createAgent builds a LlamaIndex agent
  • openai configures the LLM backend
6

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

7

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["sap_successfactors"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Sap successfactors actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, sap successfactors)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Sap successfactors tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

  • We're creating a direct terminal interface to chat with Sap successfactors
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • The agent processes the request, selects appropriate Sap successfactors tools, and returns a result
  • We extract the answer from the result data structure and display it to the user
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are streamed in a clear, readable format
9

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Sap successfactors
10

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Sap successfactors, then start asking questions.

Complete Code

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

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["sap_successfactors"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Sap successfactors actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Sap successfactors to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Sap successfactors tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.
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

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. LlamaIndex 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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