Bring Attendance Tracking
to OpenAI Agents SDK
Learn how to connect Lamha to OpenAI Agents SDK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Lamha MCP Server?
Connect your Lamha account to any AI agent and manage HR operations through natural conversation.
What you can do
- Employee Management — List employees, inspect profiles, and track status
- Attendance Tracking — Monitor check-in/out times and attendance records
- Department Browsing — Navigate organizational structure and departments
- Leave Management — Track leave requests, balances, and approvals
- Payroll Access — View payroll data and compensation details
How it works
1. Subscribe to this server
2. Enter your Lamha API Token
3. Start managing HR from Claude, Cursor, or any MCP-compatible client
Who is this for?
- HR Teams — manage employee records and attendance
- Managers — track leave requests and team attendance
- Payroll — access compensation data and reports
Built-in capabilities (8)
Cancel an existing order
Check delivery coverage for a city
Create a new logistics order
Get details for a specific order
List delivery carriers
List product inventory
List Lamha orders
List warehouses
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 8 tools from Lamha through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lamha, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Lamha in OpenAI Agents SDK
Lamha and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Lamha to OpenAI Agents SDK 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 Lamha in OpenAI Agents SDK
The Lamha 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 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK 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
Lamha for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Lamha MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track employee attendance and leave?
Yes. Monitor check-in/out records, view attendance summaries, and track leave balances, requests, and approvals for any employee.
How does Lamha authentication work?
Lamha uses a Token header (not Bearer) for authentication against app.lamha.sa/api/v2. This is a custom token format.
Can I browse the organizational structure?
Yes. Navigate departments, teams, and reporting hierarchies within the organization.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.