ShadowBot MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ShadowBot through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ShadowBot Assistant",
instructions=(
"You help users interact with ShadowBot. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ShadowBot"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from ShadowBot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ShadowBot, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ShadowBot MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ShadowBot
Why Use OpenAI Agents SDK with the ShadowBot MCP Server
OpenAI Agents SDK provides unique advantages when paired with ShadowBot through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ShadowBot + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ShadowBot MCP Server delivers measurable value.
Automated workflows: build agents that query ShadowBot, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries ShadowBot, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ShadowBot tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ShadowBot to resolve tickets, look up records, and update statuses without human intervention
ShadowBot MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ShadowBot to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting ShadowBot to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ShadowBot + OpenAI Agents SDK FAQ
Common questions about integrating ShadowBot MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.