Bring Employee Directory
to Mastra AI
Learn how to connect Hurma to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Hurma MCP Server?
Connect your Hurma instance to any AI agent and manage your HR operations through natural conversation.
What you can do
- Recruiting Pipeline — List all candidates, inspect profiles, create new candidate records, and track hiring progress
- Employee Directory — Browse all employees with department and position details
- Time-Off Management — Monitor out-of-office schedules and leave requests
- Department Structure — Browse organizational departments
- Position Management — List all job positions
- Onboarding Tracking — Monitor new hire checklists and progress
How it works
1. Subscribe to this server
2. Enter your Hurma domain name and API Key
3. Start managing HR from Claude, Cursor, or any MCP-compatible client
Who is this for?
- HR Teams — manage candidates, employees, and leave without switching to the dashboard
- Hiring Managers — track recruiting pipeline and review candidate profiles
- Team Leads — monitor team availability and time-off schedules
Built-in capabilities (12)
Create a new candidate
Create a new leave or absence request
Export overtime data
Get details for a specific candidate
Get details for a specific employee
Get employee vacation balance
List recruitment candidates
List custom field definitions
List all company departments
List all employees
List employees currently out of office
List recruitment stages
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Hurma tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Hurma without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Hurma tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Hurma in Mastra AI
Hurma and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hurma to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Hurma in Mastra AI
The Hurma MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Hurma for Mastra AI
Every tool call from Mastra AI to the Hurma MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I manage the recruiting pipeline through the AI agent?
Yes. Use list_candidates to see all candidates with status, get_candidate_details for full profiles, and create_candidate to add new applicants.
Can I monitor who is out of office today?
Yes. list_out_of_office retrieves all current and upcoming time-off entries. Use list_leave_requests for pending approvals and get_leave_balances for remaining vacation days.
Does Hurma require a custom domain in addition to the API Key?
Yes. Each Hurma account has a unique subdomain. Provide the domain name and API Key. Requests go to https://{domain}.hurma.work/api/v1 with a Bearer token.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp