Bring Conversational Commerce
to Vercel AI SDK
Learn how to connect TextYess to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the TextYess MCP Server?
Connect your TextYess account to any AI agent and simplify how you manage your AI-driven sales, WhatsApp marketing campaigns, and conversational commerce analytics through natural conversation.
What you can do
- Campaign Management — List all WhatsApp marketing campaigns and retrieve detailed analytics including opens, clicks, and revenue.
- Order Tracking — Monitor conversational commerce sales by listing all orders processed through AI agents or campaigns.
- Product Sync Oversight — List and inspect products synced from your e-commerce platform (Shopify, etc.) to your TextYess catalog.
- Agent Interaction Monitoring — List and review recent customer conversations with your AI shopping agent to ensure quality.
- Integration Control — List connected e-commerce platforms and verify active webhooks for product and order sync.
- Organizational Insights — Retrieve metadata for your organization and user profile directly from the agent.
How it works
1. Subscribe to this server
2. Enter your TextYess API Key (found in your account dashboard)
3. Start managing your conversational commerce from Claude, Cursor, or any MCP client
Who is this for?
- E-commerce Managers — quickly check campaign revenue and monitor product stock levels via simple AI commands.
- Marketing Teams — analyze WhatsApp broadcast performance and verify conversion rates directly from the workspace.
- Business Owners — get instant bird's-eye views of conversational sales and AI agent interactions via the AI assistant.
Built-in capabilities (12)
Get analytics for a specific campaign
List orders generated by a campaign
Check campaigns deliverability
Get authenticated user profile
Get organization information
Get details for a specific product
List AI agent interactions
List all conversational commerce orders
List active webhooks
List connected e-commerce platforms
List WhatsApp marketing campaigns
List all synced products
Why Vercel AI SDK?
The Vercel AI SDK gives every TextYess tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 TextYess integration everywhere
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Built-in streaming UI primitives let you display TextYess 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
TextYess in Vercel AI SDK
TextYess and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TextYess 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 | 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 TextYess in Vercel AI SDK
The TextYess 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 12 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
TextYess for Vercel AI SDK
Every tool call from Vercel AI SDK to the TextYess MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see how much revenue a specific WhatsApp campaign generated?
Yes! Use the get_campaign_analytics tool and provide the Campaign ID. Your agent will retrieve detailed performance metrics including total revenue and number of orders.
How do I check the stock level for a product in my TextYess catalog?
Run the get_product_details query with your Product ID. The agent will retrieve the complete metadata, including current stock status synced from your e-commerce platform.
Is it possible to monitor recent interactions between customers and the AI agent?
Absolutely. Use the list_ai_conversations query. The agent will retrieve a log of recent interactions, allowing you to monitor the quality and flow of your conversational sales.
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
