How to Use the Jasper MCP in Mastra AI

Q: Can a Mastra AI agent dynamically select a Jasper brand voice?

Yes. The agent can call listvoices to inspect available profiles, select the correct ID, and pass it to runcommand to generate aligned content.

Q: How does human-in-the-loop approval work with templates?

You can set requireToolApproval in Mastra before executing runtemplate. This pauses the workflow so a human can review the generated copy before it gets published.

Q: Is my company knowledge base data safe when queried by this MCP Server?

Yes. When you search your knowledge base using searchknowledge or retrieve documents via getdocument, the data is processed in a secure, ephemeral V8 sandbox. No data is stored on Vinkius.

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Connect Jasper MCP to Mastra AI

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Setup Jasper with Mastra AI

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Automate multi-step campaigns with Mastra AI

Mastra AI lets you build complex workflows that execute Jasper tasks in sequence. If a content generation step fails, the framework automatically retries the operation using its built-in exponential backoff. You can use `run_task` to execute specific agent tasks, then pass the output to the next Mastra workflow step. If you need to check the status of a long-running campaign, `get_task` retrieves the current state from Jasper.

Direct brand alignment using MCP Server tools

Keep your automated Mastra AI workflows on-brand without human intervention. Your agents can call `list_styles` and `get_style` to programmatically retrieve Jasper guidelines before generating any copy. When generating content with `run_command`, the Mastra agent can dynamically apply the correct voice by passing a voice ID retrieved from `list_voices`. This prevents off-brand automated outputs in your Jasper workspace.

Target specific audiences programmatically

Build Mastra AI workflows that adapt based on who you are targeting. The workflow engine can call `list_audiences` to get a list of target groups from Jasper, then fetch specific parameters with `get_audience`. These audience details can be piped directly into `run_task` as custom context. This ensures that every automated campaign executed by Mastra matches the exact demographic you want to reach.

Setup guide

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

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

const result = await agent.generate(
  "List recent Jasper 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 Jasper. 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.

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Common questions about Jasper MCP in Mastra AI

You configure Mastra's workflow engine to catch errors from `run_task` or `run_template`. The system will automatically retry the call using your configured backoff strategy.

Yes. The agent can call `list_voices` to inspect available profiles, select the correct ID, and pass it to `run_command` to generate aligned content.

You instantiate MCPClient with the Vinkius URL, then call mcpClient.listTools() and spread them directly into your agent's tool array.

You can set requireToolApproval in Mastra before executing `run_template`. This pauses the workflow so a human can review the generated copy before it gets published.

Yes. When you search your knowledge base using `search_knowledge` or retrieve documents via `get_document`, the data is processed in a secure, ephemeral V8 sandbox. No data is stored on Vinkius.

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