How to integrate Sap successfactors MCP with Mastra AI

Trusted by
AWS
Glean
Zoom
Airtable
GET STARTED FOR FREEGET A DEMO

30 min · no commitment · see it on your stack

Sap successfactors logo
Mastra AI logo
divider

Introduction

This guide walks you through connecting Sap successfactors to Mastra 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 Mastra 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

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Sap successfactors tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Sap successfactors tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Sap successfactors agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Sap successfactors through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Sap successfactors

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["sap_successfactors"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Sap successfactors MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "sap_successfactors" for Sap successfactors access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Sap successfactors toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "sap_successfactors-mastra-agent",
    instructions: "You are an AI agent with Sap successfactors tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        sap_successfactors: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Sap successfactors toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["sap_successfactors"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      sap_successfactors: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "sap_successfactors-mastra-agent",
    instructions: "You are an AI agent with Sap successfactors tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { sap_successfactors: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Sap successfactors through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

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

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

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 Mastra AI?

Yes, you can. Mastra 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.

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.

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for freeGet a demo↗