Compatible with every major AI agent and IDE
What is the SMS GSM-7 Sanitizer MCP Server?
When a Martech AI Agent drafts an SMS campaign via Twilio or Zenvia, the LLM will often include emojis (🚀) or smart quotes (” instead of "). This instantly breaks the standard 160-character GSM-7 encoding, reducing the limit to 70 characters and splitting the message into 3 parts. The client ends up paying 3x more for the campaign. This MCP solves that perfectly.
The Superpowers
- Emoji Eradication: Safely strips all emojis and zero-width characters using aggressive regular expressions.
- Unicode Transliteration: Converts complex accents and symbols into safe 7-bit ASCII (GSM-7) to guarantee maximum character limits per message segment.
Built-in capabilities (1)
Pass the draft text and the engine will strip emojis and transliterate Unicode to pure 7-bit ASCII, guaranteeing GSM-7 encoding and maximum 160-character segments. Strips emojis and complex Unicode to guarantee 100% GSM-7 compatibility. Prevents Twilio from charging 3x for multi-part SMS messages
Why Vercel AI SDK?
The Vercel AI SDK gives every SMS GSM-7 Sanitizer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 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 SMS GSM-7 Sanitizer integration everywhere
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Built-in streaming UI primitives let you display SMS GSM-7 Sanitizer 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
SMS GSM-7 Sanitizer in Vercel AI SDK
SMS GSM-7 Sanitizer and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SMS GSM-7 Sanitizer 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 SMS GSM-7 Sanitizer in Vercel AI SDK
The SMS GSM-7 Sanitizer 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 1 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
SMS GSM-7 Sanitizer for Vercel AI SDK
Every tool call from Vercel AI SDK to the SMS GSM-7 Sanitizer MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Why does an emoji cost more?
Emojis force the telecom provider to use UCS-2 encoding, which cuts the character limit from 160 down to 70 per message segment.
What happens to accented letters?
Using the unidecode algorithm, letters like 'ç' become 'c' and 'ã' become 'a', ensuring strict ASCII compatibility.
Is this needed for WhatsApp?
No, WhatsApp handles Unicode perfectly. This is specifically for legacy SMS gateways like Twilio and SNS.
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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