Bring Employee Records
to LlamaIndex
Learn how to connect Armano to LlamaIndex and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Armano MCP Server?
Connect your Armano account to any AI agent and take full control of your human resources and automated workforce orchestration through natural conversation.
What you can do
- Workforce Portfolio Orchestration — List and manage your entire database of employees programmatically, retrieving detailed profiles and department affiliations
- Time & Attendance Intelligence — Programmatically retrieve time tracking records and monitor clock-in/out metadata to maintain a perfectly coordinated audit trail
- Absence & Leave Architecture — Access your complete directory of time-off requests and statuses to oversee your organizational resource allocation
- Document Monitoring — Access real-time status updates for employee records and retrieve hosted assets directly through your agent
- Operational Monitoring — Verify account-level API connectivity and monitor HR process volume directly through your agent for perfectly coordinated service scaling
How it works
- Subscribe to this server
- Retrieve your API Key from your Armano dashboard (App Integrations section)
- Start orchestrating your workforce from Claude, Cursor, or any MCP client
No more manual checking of individual employee cards or missing leave requests. Your AI acts as your dedicated HR coordinator and workforce architect.
Who is this for?
- HR Managers — instantly retrieve employee summaries and monitor team attendance using natural language commands
- Department Leads — verify individual absence requests and track team availability without leaving your workspace
- Developers — integrate high-speed Armano HR data into custom internal tools through simple AI queries
Built-in capabilities (10)
Verify Armano API connectivity
Create a time entry
Get employee details
Get project details
Get time entry details
List all departments
List all employees
List all leave requests
List all projects
Optionally filter by date range (YYYY-MM-DD format). List time entries
Why LlamaIndex?
LlamaIndex agents combine Armano tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Armano tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Armano tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Armano, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Armano tools were called, what data was returned, and how it influenced the final answer
Armano in LlamaIndex
Armano and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Armano 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 | 4,000+ 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 Armano in LlamaIndex
The Armano 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 10 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
Armano for LlamaIndex
Every tool call from LlamaIndex to the Armano MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Armano API Key?
Log in to your account, navigate to Settings > App Integrations, and copy your unique API Token from the credentials section.
Can I retrieve time entries via AI?
Yes! The list_time_entries tool allows your agent to retrieve clock-in/out records for any specific period.
How do I list my active employees?
Use the list_employees tool to retrieve your complete directory along with the unique identifiers for all registered staff members.
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 Armano 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
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