LinkAce MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LinkAce through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 LinkAce, 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 LinkAce MCP Server
Connect your LinkAce instance to any AI agent to automate your personal knowledge base and link archiving. This MCP server enables your agent to add new bookmarks, organize them into lists and tags, and search your entire library directly from natural language interfaces.
The Vercel AI SDK gives every LinkAce tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the 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
- Instant Archiving — Quickly add new URLs to your LinkAce library with custom titles and descriptions
- Deep Organization — Create and manage tags and lists to keep your bookmarks categorized and easy to find
- Semantic Discovery — Search through your entire archived library using keywords via natural language commands
- Library Maintenance — Retrieve detailed metadata for specific links or permanently remove outdated bookmarks
- Self-Hosted Support — Works with any self-hosted LinkAce instance using your personal API token
The LinkAce MCP Server exposes 9 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.
How to Connect LinkAce to Vercel AI SDK via MCP
Follow these steps to integrate the LinkAce MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from LinkAce and passes them to the LLM
Why Use Vercel AI SDK with the LinkAce MCP Server
Vercel AI SDK provides unique advantages when paired with LinkAce 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 LinkAce integration everywhere
Built-in streaming UI primitives let you display LinkAce 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
LinkAce + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LinkAce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LinkAce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LinkAce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LinkAce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LinkAce through natural language queries
LinkAce MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect LinkAce to Vercel AI SDK via MCP:
create_new_bookmark
Requires at least a URL. Add a new link to your archive
create_new_collection
Add a new collection (list)
create_new_tag
Add a new tag
delete_bookmark
Remove a bookmark from your archive
get_bookmark_details
Get details for a specific bookmark
list_all_bookmarks
List all bookmarks (links) in your LinkAce account
list_all_collections
List all bookmark collections (lists)
list_all_tags
List all tags used for organizing bookmarks
search_bookmarks
Search for bookmarks by keyword
Example Prompts for LinkAce in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LinkAce immediately.
"Add 'https://www.wikipedia.org' to my LinkAce bookmarks."
"Search my LinkAce library for 'Artificial Intelligence'."
"List all my bookmark collections."
Troubleshooting LinkAce MCP Server with Vercel AI SDK
Common issues when connecting LinkAce to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLinkAce + Vercel AI SDK FAQ
Common questions about integrating LinkAce 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.Connect LinkAce with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LinkAce to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.