Bring Chatbot
to Vercel AI SDK
Learn how to connect Landbot 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 Landbot MCP Server?
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
What you can do
- Bot Management — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
How it works
1. Subscribe to this server
2. Enter your Landbot API Token
3. Start managing chatbots from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing — manage lead-generation bots and track conversions
- Support — monitor customer conversations and response quality
- Growth — analyze chatbot performance and optimize flows
Built-in capabilities (12)
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Why Vercel AI SDK?
The Vercel AI SDK gives every Landbot 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 Landbot integration everywhere
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Built-in streaming UI primitives let you display Landbot 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
Landbot in Vercel AI SDK
Landbot and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Landbot 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 Landbot in Vercel AI SDK
The Landbot 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
Landbot for Vercel AI SDK
Every tool call from Vercel AI SDK to the Landbot MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I manage bots and read conversations?
Yes. List all bots with performance metrics, browse conversations with full message history, and send replies to customers.
How does Landbot authentication work?
Landbot uses a Token header for authentication against api.landbot.io/v1. This differs from standard Bearer authentication.
Can I track chatbot conversion metrics?
Yes. Monitor flow completion rates, drop-off points, lead capture rates, and conversation-to-conversion metrics per bot.
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