How to Use the LinkAce MCP in Mastra AI

Build complex, failure-aware bookmark workflows in Mastra AI with automatic retries and conditional logic.

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Connect LinkAce MCP to Mastra AI

Create your Vinkius account to connect LinkAce to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LinkAce with Mastra AI

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Automated bookmark organization in Mastra AI

Chain `create_new_tag` and `create_new_collection` into your agentic workflows. If a network blip occurs, the built-in engine handles the retry logic automatically. It’s designed for reliability. You define the sequence once, and the agent ensures the bookmark ends up in the right collection every time.

Multi-step archive management

Use `get_bookmark_details` to verify link health before moving it to a new collection. Your agent performs these checks in sequence, saving you from manual cleanup tasks. This keeps your library organized without human intervention. The agent executes the plan and reports back only when the work is done.

Conditional execution with LinkAce MCP

Implement logic like checking for duplicates before calling `create_new_bookmark`. If the link exists, the agent skips the action, keeping your archive clean. It treats your link library as a programmable database. You set the rules, and the agent follows them to the letter.

Setup guide

Set up LinkAce MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All LinkAce tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "linkace-mcp-client",
  servers: {
    "linkace-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "LinkAce Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to LinkAce tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent LinkAce transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkAce. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about LinkAce MCP in Mastra AI

Mastra AI manages the request flow. If the server hits a rate limit, the engine pauses and retries based on your configured backoff policy.

Yes, just add the MCP server to your agent definition. You’ll have full access to all 9 tools within your workflow steps.

Only the bookmark metadata you request. The server strictly processes URLs, tags, and collection names to fulfill your specific tool calls.

You decide. You can configure the agent to require your sign-off before it executes destructive actions like `delete_bookmark`.

Just the API token. Once you provide that, the server maps the tools to your environment, and you’re ready to build.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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