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Siteminder MCP Server for Mastra AIGive Mastra AI instant access to 18 tools to Cp Cancel Reservation, Cp Confirm Reservation, Cp Get Property, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Siteminder through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Siteminder MCP Server for Mastra AI is a standout in the Ecommerce category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "siteminder": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Siteminder Agent",
    instructions:
      "You help users interact with Siteminder " +
      "using 18 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Siteminder?"
  );
  console.log(result.text);
}

main();
Siteminder
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Siteminder MCP Server

Connect your Siteminder account to any AI agent to streamline hotel distribution and reservation management through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Siteminder tool infrastructure. Connect 18 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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)

The Siteminder MCP Server exposes 18 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Siteminder tools available for Mastra AI

When Mastra AI connects to Siteminder through Vinkius, your AI agent gets direct access to every tool listed below — spanning hotel-management, booking-engine, inventory-sync, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cp

Cp cancel reservation on Siteminder

Cancel an existing reservation

cp

Cp confirm reservation on Siteminder

Finalize booking with guest and payment details

cp

Cp get property on Siteminder

Get property details via Channels Plus API

cp

Cp list reservations on Siteminder

Retrieve historical bookings via Channels Plus API

cp

Cp lock reservation on Siteminder

Create a 10-minute hold on inventory

cp

Cp modify reservation on Siteminder

Modify an existing reservation

cp

Cp search properties on Siteminder

Search properties via Channels Plus API

db

Db get property on Siteminder

Get property details via Direct Booking API

db

Db get quotes on Siteminder

Get pricing and availability for a specific stay

db

Db get room rates on Siteminder

Get room rates for a property via Direct Booking API

db

Db get room types on Siteminder

Get room types for a property via Direct Booking API

db

Db list properties on Siteminder

List all properties in the group via Direct Booking API

smx

Smx get availability on Siteminder

Query inventory for a date range via SMX API

smx

Smx get rates on Siteminder

Query pricing for a date range via SMX API

smx

Smx list hotels on Siteminder

List connected properties for a publisher via SMX API

smx

Smx list publishers on Siteminder

List connected PMS providers via SMX API

smx

Smx list rate plans on Siteminder

List rate plans for a hotel via SMX API

smx

Smx list room types on Siteminder

List room types for a hotel via SMX API

Connect Siteminder to Mastra AI via MCP

Follow these steps to wire Siteminder into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 18 tools from Siteminder via MCP

Why Use Mastra AI with the Siteminder MCP Server

Mastra AI provides unique advantages when paired with Siteminder through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Siteminder without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Siteminder tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Siteminder + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Siteminder MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Siteminder, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Siteminder as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Siteminder on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Siteminder tools alongside other MCP servers

Example Prompts for Siteminder in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Siteminder immediately.

01

"Find hotels near lat 40.7128, long -74.0060 within a 5km radius for next weekend."

02

"Get the room types and rates for property UUID '123-abc-456'."

03

"Show me the history of bookings for my account."

Troubleshooting Siteminder MCP Server with Mastra AI

Common issues when connecting Siteminder to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Siteminder + Mastra AI FAQ

Common questions about integrating Siteminder MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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