Bring Loyalty Programs
to Mastra AI
Learn how to connect Swarm to Mastra AI and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Swarm API Key (found in your account dashboard)
3. Start managing your loyalty program from your favorite AI assistant
Who is this for?
- Retail Business Owners — quickly check customer points and award rewards during checkout via simple AI commands.
- Marketing Managers — monitor reward distribution and verify voucher availability directly from the workspace.
- Customer Success Teams — assist customers with point inquiries and handle manual redemptions via the AI assistant.
Built-in capabilities (5)
Check customer loyalty points
List redeemable rewards
List active customer vouchers
Process a sale and award points
Redeem points for a reward
Why Mastra AI?
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.
- —
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 in Mastra AI
Swarm and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Swarm to Mastra AI 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 Swarm in Mastra AI
The Swarm 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 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
Swarm for Mastra AI
Every tool call from Mastra AI to the Swarm 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 a customer's points balance via AI?
Yes! Use the get_customer_balance tool and provide the Customer ID. Your agent will retrieve the current points and the loyalty tier for that specific user.
How do I award points for a recent purchase using the agent?
Use the process_loyalty_transaction action. Provide the Customer ID and the transaction amount. The agent will instantly calculate and award the correct points based on your Swarm settings.
Is it possible to list all the rewards a customer can claim?
Absolutely. Use the list_available_rewards query and provide the Customer ID. The agent will return the catalog of rewards that the user is currently eligible to redeem.
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.
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.
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.
createMCPClient not exported
Install: npm install @mastra/mcp