Knackly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Data Record, Get Record Details, List Catalogs, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Knackly through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Knackly app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Knackly, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Knackly MCP Server
Connect your Knackly account to any AI agent and automate document generation through natural conversation.
The Vercel AI SDK gives every Knackly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Template Management — Browse templates and their field configurations
- Document Generation — Create documents from templates with field data
- App Browsing — List all Knackly apps and their configurations
- Generation History — Track document generation history and outputs
The Knackly MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Knackly tools available for Vercel AI SDK
When Vercel AI SDK connects to Knackly through Vinkius, your AI agent gets direct access to every tool listed below — spanning document-automation, template-assembly, legal-tech, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new record
Get details for a specific record
List catalogs in a workspace
List models in a catalog
List records for a model
List automated documents
List configured webhooks
List Knackly workspaces
Connect Knackly to Vercel AI SDK via MCP
Follow these steps to wire Knackly into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Knackly MCP Server
Vercel AI SDK provides unique advantages when paired with Knackly through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Knackly integration everywhere
Built-in streaming UI primitives let you display Knackly tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Knackly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Knackly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Knackly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Knackly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Knackly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Knackly through natural language queries
Example Prompts for Knackly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Knackly immediately.
"Show all apps and templates available for document generation."
"Generate an NDA for Acme Corp and show the required fields."
"Show document generation history for this month."
Troubleshooting Knackly MCP Server with Vercel AI SDK
Common issues when connecting Knackly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKnackly + Vercel AI SDK FAQ
Common questions about integrating Knackly MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.