Server data from the Official MCP Registry
SAP SuccessFactors OData and Compound Employee queries with PII tokenization for AI agents.
About
SAP SuccessFactors OData and Compound Employee queries with PII tokenization for AI agents.
Security Report
Valid MCP server (2 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
4 files analyzed · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Documentation
View on GitHubFrom the project's GitHub README.
SuccessFactors Toolkit
A self-hosted toolkit for SAP SuccessFactors API troubleshooting, payload extraction, and integration development, exposed as a REST API and as an MCP (Model Context Protocol) server.
| API | Protocol | Endpoint prefix |
|---|---|---|
| EC SFAPI — Compound Employee | SOAP 1.1 | /api/sfapi/ce/ |
| OData | REST (v2, v4) | /api/odata/ |
OData v4 covers the SuccessFactors APIs published as v4 services (for example Calibration and Continuous Feedback); Employee Central and Onboarding data stay on v2. See OData API.
This is an independent project, not affiliated with or endorsed by SAP SE. SAP and SuccessFactors are trademarks of SAP SE.
Start here: Docker MCP → credentials → ask → export
Data security: prefer local deployment. For sensitive SuccessFactors employee data and credentials, we recommend running the MCP server in local Docker and using a local AI agent, rather than an online AI platform or a third-party hosted MCP service. Keep credentials and exports on your machine; do not upload private keys or employee payloads to online platforms.
A local AI agent is not necessarily a local model. If it calls a cloud model, prompts, tool responses, previews, and file contents supplied to that model may leave your machine. If HR data must stay within your controlled environment, use a locally hosted model and local file-processing tools, and check the agent's outbound data handling. Local Docker alone does not guarantee this. The toolkit still connects to your configured SuccessFactors tenant to query data.
For functional consultants and business key users, start with the business user guide or its English/Chinese HTML edition. Ask IT to complete the one-time Docker Compose setup and provide approved connection files. Then:
- Check Docker Desktop or your IT-managed Docker service is running, then open your local AI application.
- Confirm with IT that the connection files are in
sf-toolkit/credentials. - Confirm the SuccessFactors environment and ask for the employee, date, and information you need.
- Find results under
sf-toolkit/data/mcp. Ask a file-capable AI application for CSV or another supported format, or a copy in an authorized folder.
The guide includes example business questions, completion checks, troubleshooting, and expandable one-time settings for your administrator. Original OData results are JSON; Compound Employee results are XML. CSV conversion requires local file tools in the AI application.
Documentation
| Page | Covers |
|---|---|
| REST API | Fail-closed setup, install and run, cheat sheet, response format |
| Connect to SuccessFactors | Key pair generation, environment variables, private key resolution order, tenant management |
| EC SFAPI (SOAP) | Compound Employee single lookup, structured filter query, pagination, known footguns |
| OData API | execute / extract / extract-by-filter-in, OData v4 services, per-request connection override, known API footguns |
| MCP server | Tools for AI agents, payload handling, export formats, PII tokenization, plugins |
| Development | Local dev setup, linting, tests, release process |
Data handling
Use synthetic examples and test fixtures. Credentials, certificates, tenant
exports, employee payloads, and generated results do not belong in Git —
.gitignore and scripts/check_repository.py are a basic guardrail, not a
complete secret or personal-data scanner. See SECURITY.md for
deployment guidance and how to report a vulnerability.
License
Apache License 2.0. Copyright 2026 Justin Gong. See NOTICE for third-party and migrated-code attribution.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Paperclip
Freeby Paperclipai · Developer Tools
Trending hip-hop artist momentum scores across four cultural dimensions.
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.