Swarm MCP Server for Mastra AIGive Mastra AI instant access to 5 tools to Get Customer Balance, List Available Rewards, List Customer Vouchers, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Swarm through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Swarm app connector for Mastra AI is a standout in the Marketing Automation category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"swarm": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Swarm Agent",
instructions:
"You help users interact with Swarm " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Swarm?"
);
console.log(result.text);
}
main();
* 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 Swarm MCP Server
Connect your Swarm loyalty account to any AI agent and simplify how you manage customer rewards, award points for transactions, and handle redemptions through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Swarm tool infrastructure. Connect 5 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
- Point Management — Retrieve real-time point balances and loyalty tiers for specific customer IDs.
- Transaction Processing — Programmatically award points to customers by registering sale amounts and product data via AI.
- Reward Redemption — Convert customer points into discount vouchers or specific rewards and list all active vouchers.
- Catalog Discovery — Browse available rewards and check eligibility for specific customers instantly.
- Voucher Oversight — List and query all unused discount codes currently assigned to a customer's profile.
- Loyalty Lifecycle — Manage the entire customer reward journey directly from Claude, Cursor, or any MCP client.
The Swarm MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Swarm tools available for Mastra AI
When Mastra AI connects to Swarm through Vinkius, your AI agent gets direct access to every tool listed below — spanning loyalty-programs, rewards-management, customer-retention, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check customer loyalty points
List redeemable rewards
List active customer vouchers
Process a sale and award points
Redeem points for a reward
Connect Swarm to Mastra AI via MCP
Follow these steps to wire Swarm into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Swarm MCP Server
Mastra AI provides unique advantages when paired with Swarm through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Swarm without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Swarm tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Swarm + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Swarm MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Swarm, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Swarm as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Swarm on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Swarm tools alongside other MCP servers
Example Prompts for Swarm in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Swarm immediately.
"What is the point balance for customer 'cust_10293'?"
"Award points for a $150 purchase to customer 'cust_88231'."
"Show me all available rewards I can claim with 500 points."
Troubleshooting Swarm MCP Server with Mastra AI
Common issues when connecting Swarm to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSwarm + Mastra AI FAQ
Common questions about integrating Swarm MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.