If you've been building AI agent workflows, you've probably hit this wall: your agent can reason, plan, and execute — but connecting it to external systems still means writing custom API wrappers, auth logic, and error handling for every service.
MCP (Model Context Protocol) solves this through standardization. A service that exposes an MCP server gives any MCP-compatible agent direct tool access — no custom integration needed.
We built staffSign — a digital employment contract API for HR and staffing agencies in the DACH region — with this in mind. The primary interface isn't a UI. It's the MCP server.
The setup (Claude Desktop / Cursor / Claude.ai)
{
"mcpServers": {
"staffsign": {
"url": "https://www.promotionbasis.de/api/mcp",
"headers": { "X-Api-Key": "<your-api-key>" }
}
}
}
Remote HTTP server — nothing to install, no mcp-remote needed.
12 tools across two areas
Contract lifecycle: create_contract, send_contract, get_contract, search_contracts, cancel_contract, delete_contract
Template management: create_contract_template, update_contract_template, get_contract_template, search_contract_templates, activate_contract_template, archive_contract_template
A typical agent workflow
candidate accepts offer in ATS
→ agent: create_contract(templateId, participants, signatureLevel="QES")
→ agent: send_contract(contractId)
→ candidate signs on phone (QES — eIDAS qualified, legally binding in all EU countries)
→ webhook: contract.signed → agent triggers onboarding
Full workflow in under 2 minutes, no human in the loop.
What's notable from an MCP perspective
-
Remote HTTP — direct
url+headersconfig, no stdio wrapper needed - QES (eIDAS) — qualified electronic signature, legally binding across all EU countries, included by default
- Idempotency keys on all POST endpoints — safe for agent retry logic
- Structured error responses with recovery hints
- Webhook events for event-driven pipelines
Why we built the MCP server as the primary interface
Most employment contract tools are built around a UI. We made a different bet: within 2-3 years, most integrations will be done by AI agents, not humans writing custom code. So we built the MCP server first, not as an afterthought.
Pay-per-use from €3/contract, no subscription. Docs: staffsign.de/docs
Happy to answer questions about the remote HTTP setup, the QES/eIDAS angle, or the MCP design decisions.
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