How to Use the JigsawStack MCP in Mastra AI

Q: Can I chain multiple tools?

Absolutely. Your agents can call aiwebscrape first, then pass that text into summarizetext within a single workflow execution.

Build reliable workflows in Mastra AI using JigsawStack tools for automated data handling.

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…and any MCP-compatible client

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Connect JigsawStack MCP to Mastra AI

Create your Vinkius account to connect JigsawStack 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 JigsawStack with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated web research

Chain `ai_web_search` and `ai_web_scrape` into your Mastra workflows. If the first scrape misses data, your agent can automatically retry or search a different query. This MCP Server provides the hooks your agents need to gather context. It handles the back-and-forth so your workflow logic stays clean and focused on the output.

Workflow-driven moderation

Insert `check_nsfw_image` and `check_profanity_text` into your agent's decision tree. If content fails the check, your workflow can route the task to a human-in-the-loop or flag the record. It makes your agents smarter about what they ingest. You define the rules, and the tools provide the data to back those decisions up.

Text extraction and translation

Use `extract_text_from_image` to pull data from uploads and feed it into your downstream logic. It works within your existing Mastra agent setup via the MCP client. Translate foreign language inputs on the fly with `translate_text`. Your agents can normalize data from global sources before saving it to your database.

Setup guide

Set up JigsawStack 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 JigsawStack 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: "jigsawstack-mcp-client",
  servers: {
    "jigsawstack-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent JigsawStack 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 JigsawStack. 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 JigsawStack MCP in Mastra AI

Use the MCPClient to connect to the server and list the tools. Spread these tools directly into your Agent definition to make them available for your steps.

Yes. You can enable requireToolApproval in your Mastra configuration to inspect what the agent is doing before it executes a JigsawStack tool call.

Mastra handles retries natively. If an API call fails, the workflow engine can trigger a retry or move to an error handling branch in your code.

Absolutely. Your agents can call `ai_web_scrape` first, then pass that text into `summarize_text` within a single workflow execution.

We keep your image and text inputs ephemeral. The server processes the request against the JigsawStack API and discards the payload immediately after completion.

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