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Vinkius

Jestor MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jestor through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "jestor": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Jestor Agent",
    instructions:
      "You help users interact with Jestor " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Jestor?"
  );
  console.log(result.text);
}

main();
Jestor
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* 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 Jestor MCP Server

Empower your AI agents with Jestor's low-code internal tools platform. This MCP server allows you to list objects (tables), retrieve and list records, manage users, and monitor workflows and dashboards directly through the Jestor API. Ideal for automating internal operations and database management.

Mastra's agent abstraction provides a clean separation between LLM logic and Jestor tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

The Jestor MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Jestor to Mastra AI via MCP

Follow these steps to integrate the Jestor MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Jestor via MCP

Why Use Mastra AI with the Jestor MCP Server

Mastra AI provides unique advantages when paired with Jestor through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Jestor without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Jestor tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Jestor + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Jestor MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Jestor, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Jestor as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Jestor on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Jestor tools alongside other MCP servers

Jestor MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Jestor to Mastra AI via MCP:

01

get_me

Use this to verify connection status and current permissions. Gets current authenticated user info

02

get_object

Useful for understanding field types and relationships within a specific table. Retrieves details/schema for a specific object

03

get_record

Essential for deep-diving into a specific entry in the database. Retrieves details for a specific record

04

list_apps

Useful for discovering high-level toolsets available to the user. Lists all installed internal apps

05

list_dashboards

Use this to identify where aggregated data visualizations are located. Lists all configured dashboards

06

list_objects

Returns object names and labels. Use this to discover available datasets before querying specific records. Lists all objects (tables) in your Jestor account

07

list_records

This is the primary tool for browsing data within a table (e.g., listing all "Tasks" or "Clients"). Lists records for a specific object

08

list_users

Returns names, emails, and IDs. Useful for identifying record owners or system administrators. Lists all users in the organization

09

list_webhooks

Use this to audit third-party integrations. Lists all configured webhooks

10

list_workflows

Useful for auditing system logic and event-driven actions. Lists all automated workflows

Example Prompts for Jestor in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Jestor immediately.

01

"List all objects in my Jestor account."

02

"Show me the records for the 'Invoices' object."

03

"Check the status of my workflows."

Troubleshooting Jestor MCP Server with Mastra AI

Common issues when connecting Jestor to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Jestor + Mastra AI FAQ

Common questions about integrating Jestor MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Jestor to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.