Bring Equipment Rental
to LlamaIndex
Learn how to connect HirePOS to LlamaIndex and start using 17 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the HirePOS MCP Server?
Connect your HirePOS account to any AI agent and manage your equipment rental business through natural conversation.
What you can do
- Booking Management — List all rental hires, create new bookings, filter by status (active, returned, pending, overdue)
- Inventory Control — Browse all rental items with rates and categories, check availability for date ranges, and filter by category
- Customer Database — List all customers, inspect profiles with rental history, and create new customer records
- Invoice Processing — Browse all invoices with amounts and payment status, and inspect individual invoice line items
- Overdue Tracking — Identify all rentals past their return date for immediate follow-up
- Category Management — Browse all rental item categories for organized inventory
How it works
1. Subscribe to this server
2. Enter your HirePOS API Key from your account settings
3. Start managing rentals from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Rental Business Owners — manage bookings, track overdue items, and check inventory availability without opening the POS system
- Operations Staff — create bookings, check item availability for specific dates, and process customer records
- Finance Teams — review invoices, track payments, and audit rental revenue through AI
Built-in capabilities (17)
Verify connectivity
Check item availability
Create a customer
Create a booking
Get customer details
Get hire details
Get invoice details
Get item details
List availability
List categories
List customers
List all hires
Filter hires by status
List invoices
List inventory items
Filter items by category
List overdue hires
Why LlamaIndex?
LlamaIndex agents combine HirePOS tool responses with indexed documents for comprehensive, grounded answers. Connect 17 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 HirePOS tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain HirePOS tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query HirePOS, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what HirePOS tools were called, what data was returned, and how it influenced the final answer
HirePOS in LlamaIndex
HirePOS and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect HirePOS 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 HirePOS in LlamaIndex
The HirePOS 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 17 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
HirePOS for LlamaIndex
Every tool call from LlamaIndex to the HirePOS MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check if a specific item is available for a date range?
Yes. Use check_item_availability with the Item ID, start date, and end date (YYYY-MM-DD format) to verify if the item is free for that period. Use list_availability for a complete overview of all items and their current availability status.
Can I track overdue rentals that haven't been returned?
Yes. The list_overdue_hires tool retrieves all rentals past their return date with customer info, item details, and days overdue. Use list_hires_by_status with 'overdue' status for the same result, or filter by 'active', 'returned', or 'pending'.
Can I create a new rental booking through the AI agent?
Yes. Use create_hire with a JSON payload containing customer ID, item IDs, start date, end date, and any special instructions. Use list_items to browse available equipment and list_customers to find the customer. Use create_customer to add a new customer if needed.
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 HirePOS 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