Compatible with every major AI agent and IDE
What is the Siteminder MCP Server?
Connect your Siteminder account to any AI agent to streamline hotel distribution and reservation management through natural conversation.
What you can do
- Property Search — Find properties by location, radius, and dates using Channels Plus (
cp_search_properties) - Inventory & Rates — Access room types, rates, and quotes for specific properties (
db_get_room_types,db_get_room_rates) - Reservation Lifecycle — Lock, confirm, modify, and cancel bookings directly through the agent (
cp_lock_reservation,cp_confirm_reservation) - Booking History — Retrieve and list historical reservations associated with your account (
cp_list_reservations) - Direct Booking — List and inspect properties within your group using the Direct Booking API (
db_list_properties)
How it works
- Subscribe to this server
- Enter your Siteminder API ID, API Key, and SMX Token
- Start managing hospitality workflows from Claude, Cursor, or any MCP client
Who is this for?
- Travel Agencies — automate property searches and booking confirmations via AI
- Hotel Managers — monitor inventory and room rates without manual dashboard checks
- Developers — integrate hospitality data into custom workflows or AI assistants
Built-in capabilities (18)
Cancel an existing reservation
Finalize booking with guest and payment details
Get property details via Channels Plus API
Retrieve historical bookings via Channels Plus API
Create a 10-minute hold on inventory
Modify an existing reservation
Search properties via Channels Plus API
Get property details via Direct Booking API
Get pricing and availability for a specific stay
Get room rates for a property via Direct Booking API
Get room types for a property via Direct Booking API
List all properties in the group via Direct Booking API
Query inventory for a date range via SMX API
Query pricing for a date range via SMX API
List connected properties for a publisher via SMX API
List connected PMS providers via SMX API
List rate plans for a hotel via SMX API
List room types for a hotel via SMX API
Why LlamaIndex?
LlamaIndex agents combine Siteminder tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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.
- —
Data-first architecture: LlamaIndex agents combine Siteminder tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Siteminder tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Siteminder, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Siteminder tools were called, what data was returned, and how it influenced the final answer
Siteminder in LlamaIndex
Siteminder and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Siteminder 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 Siteminder in LlamaIndex
The Siteminder 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 18 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
Siteminder for LlamaIndex
Every tool call from LlamaIndex to the Siteminder 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 search for available hotels in a specific area?
Use the cp_search_properties tool by providing the latitude, longitude, and search radius. You can also include check-in and check-out dates to filter availability.
Can I hold a room before finalizing a booking?
Yes! The cp_lock_reservation tool creates a 10-minute hold on inventory for a specific property, allowing you to gather guest details before confirming.
How do I see all properties associated with my account?
You can use the db_list_properties tool to retrieve a full list of all properties in your group via the Direct Booking API.
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 Siteminder 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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