ShadowBot MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ShadowBot through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ShadowBot, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every ShadowBot tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the ShadowBot MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from ShadowBot and passes them to the LLM
Why Use Vercel AI SDK with the ShadowBot MCP Server
Vercel AI SDK provides unique advantages when paired with ShadowBot through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ShadowBot integration everywhere
Built-in streaming UI primitives let you display ShadowBot tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ShadowBot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ShadowBot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ShadowBot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ShadowBot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ShadowBot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ShadowBot through natural language queries
ShadowBot MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ShadowBot to Vercel AI SDK via MCP:
get_robot_details
Get detailed information for a specific robot
get_task_details
Retrieve the status and results of a ShadowBot task
list_apps
List all RPA applications in your ShadowBot account
list_department_members
List members in a specific department
list_departments
Retrieve the organizational department list
list_online_robots
List currently online robots
list_robots
List all robots associated with the account
list_task_logs
Retrieve logs for a specific task
start_task
Remote trigger a ShadowBot RPA application
stop_task
Stop a running ShadowBot task
Example Prompts for ShadowBot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ShadowBot immediately.
"List all automation robots in my ShadowBot account and show their status."
"Start task 'process_invoices' on robot ID 'bot_rpa_777'."
"Get the execution logs for Job ID 'job_12345'."
Troubleshooting ShadowBot MCP Server with Vercel AI SDK
Common issues when connecting ShadowBot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpShadowBot + Vercel AI SDK FAQ
Common questions about integrating ShadowBot MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ShadowBot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ShadowBot to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.