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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Siteminder through native MCP adapters. Connect 18 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Siteminder MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Siteminder queries for multi-turn workflows
Siteminder in LangChain
Siteminder and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Siteminder to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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