Bring Newsletters
to Vercel AI SDK
Learn how to connect Smaily Alternative to Vercel AI SDK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Smaily Alternative MCP Server?
Connect your Smaily account to any AI agent and take full control of your email marketing workflows through natural conversation.
What you can do
- Subscriber Management — List, add, update, or delete subscribers in your contact lists with ease.
- Campaign Control — Retrieve lists of campaigns, fetch specific details, and trigger the sending of email campaigns directly.
- Templates & Content — Access and inspect your email templates to ensure your messaging is always on brand.
- Automation Workflows — List available automated workflows and trigger them for specific subscribers to nurture leads instantly.
- Data Insights — Query campaign and automation data to understand your marketing performance without leaving your chat interface.
How it works
- Subscribe to this server
- Enter your Smaily Subdomain, API Username, and API Password
- Start managing your email marketing from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing Managers — quickly check campaign statuses and trigger newsletters without logging into the dashboard
- Sales Teams — manually add leads to specific automation workflows directly from their workflow
- Developers — integrate email triggers and subscriber updates into their coding environment for faster testing
Built-in capabilities (10)
Add or update a Smaily subscriber
Delete a Smaily subscriber
Get details for a specific Smaily campaign
Get details for a specific Smaily template
List Smaily automations
List Smaily campaigns
List Smaily subscribers
List Smaily templates
Send a Smaily campaign
Trigger a Smaily automation
Why Vercel AI SDK?
The Vercel AI SDK gives every Smaily Alternative tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Smaily Alternative integration everywhere
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Built-in streaming UI primitives let you display Smaily Alternative tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Smaily Alternative in Vercel AI SDK
Smaily Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Smaily Alternative to Vercel AI SDK 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 Smaily Alternative in Vercel AI SDK
The Smaily Alternative 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 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
Smaily Alternative for Vercel AI SDK
Every tool call from Vercel AI SDK to the Smaily Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I add a new subscriber with custom fields using the AI?
Yes! Use the add_update_subscriber tool. You can provide the email and a JSON string for the fields parameter to include custom data like names or preferences.
How do I trigger an automated email for a specific user?
Simply use the trigger_automation tool by providing the automation_id and the subscriber's email. This will immediately start the workflow for that contact.
Is it possible to see the content of my email templates?
Yes, you can use list_templates to find the ID and then get_template to retrieve the full details and structure of a specific email template.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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