Bring Attendance Tracking
to LlamaIndex
Learn how to connect Lamha to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine Lamha tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Lamha tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Lamha tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Lamha, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Lamha tools were called, what data was returned, and how it influenced the final answer
Lamha in LlamaIndex
Lamha and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Lamha to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Lamha tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp