How to Use the Jestor MCP in Mastra AI

Q: How do I verify permissions in Jestor for Mastra AI?

Call the getme tool. It returns your current user context and permissions, which you can use to gate agent actions.

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Connect Jestor MCP to Mastra AI

Create your Vinkius account to connect Jestor 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 Jestor with Mastra AI

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Automated workflow execution for Mastra AI

Mastra agents can now trigger and monitor your internal processes. By calling `list_workflows`, the agent identifies which automations are available to run. If a process fails, you can build logic to check `list_webhooks` to see if the event was captured. It creates a closed loop for your operations.

Deep record inspection for complex agents

When your agent needs to make a decision based on business data, use `get_record` to pull the full state. It provides the exact context needed for multi-step reasoning. This is better than passing raw JSON dumps. You only pull the specific fields that matter for the current agent task.

Organizational oversight in Mastra AI

Use `list_users` to map record ownership to actual people in your company. It allows your agents to route notifications to the right person based on their ID. This adds a layer of accountability to your automated agents. They know exactly who is responsible for the records they are modifying.

Setup guide

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

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

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

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Common questions about Jestor MCP in Mastra AI

You install the MCP package and pass the server URL to the Mastra agent configuration. It auto-detects the tools available for your agent to use.

Yes. Since Mastra supports built-in retries, you can configure your agent to handle 429 errors gracefully if you hit your API limits.

Call the `get_me` tool. It returns your current user context and permissions, which you can use to gate agent actions.

Yes. You can use requireToolApproval to ensure a human reviews every record modification before the agent commits it to your database.

Data flows directly from the server to your agent in encrypted transit. No records are cached on Vinkius; we only facilitate the connection to your Jestor instance.

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