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ShadowBot 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 ShadowBot 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: {
      "shadowbot": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
ShadowBot
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ShadowBot MCP Server

Connect your AI agents to ShadowBot (影刀RPA), the leading Robotic Process Automation (RPA) platform for high-performance browser and desktop automation. This MCP provides 10 tools to manage automation robots, orchestrate execution tasks, and monitor the health of your digital workforce programmatically.

Mastra's agent abstraction provides a clean separation between LLM logic and ShadowBot 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.

What you can do

  • Robot Orchestration — List and inspect available automation robots and their current operational status
  • Task Execution — Trigger specific automation tasks and handle job lifecycle management from start to finish
  • Performance Monitoring — Retrieve granular execution logs and track robot throughput and success rates
  • Credential Handling — Monitor and manage robotic account assignments and access tokens for secure automation
  • Global Management — Access organizational project structures and list active automation workflows directly from your agent

The ShadowBot 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 ShadowBot to Mastra AI via MCP

Follow these steps to integrate the ShadowBot 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 ShadowBot via MCP

Why Use Mastra AI with the ShadowBot MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ShadowBot 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 ShadowBot 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

ShadowBot + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed ShadowBot 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 ShadowBot on a cron and store results in your database automatically

04

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

ShadowBot MCP Tools for Mastra AI (10)

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

01

get_robot_details

Get detailed information for a specific robot

02

get_task_details

Retrieve the status and results of a ShadowBot task

03

list_apps

List all RPA applications in your ShadowBot account

04

list_department_members

List members in a specific department

05

list_departments

Retrieve the organizational department list

06

list_online_robots

List currently online robots

07

list_robots

List all robots associated with the account

08

list_task_logs

Retrieve logs for a specific task

09

start_task

Remote trigger a ShadowBot RPA application

10

stop_task

Stop a running ShadowBot task

Example Prompts for ShadowBot in Mastra AI

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

01

"List all automation robots in my ShadowBot account and show their status."

02

"Start task 'process_invoices' on robot ID 'bot_rpa_777'."

03

"Get the execution logs for Job ID 'job_12345'."

Troubleshooting ShadowBot MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

ShadowBot + Mastra AI FAQ

Common questions about integrating ShadowBot 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 ShadowBot to Mastra AI

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