ShadowBot MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ShadowBot as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="shadowbot_agent",
tools=tools,
system_message=(
"You help users with ShadowBot. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ShadowBot tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the ShadowBot MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from ShadowBot automatically
Why Use AutoGen with the ShadowBot MCP Server
AutoGen provides unique advantages when paired with ShadowBot through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ShadowBot tools to solve complex tasks
Role-based architecture lets you assign ShadowBot tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive ShadowBot tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ShadowBot tool responses in an isolated environment
ShadowBot + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ShadowBot MCP Server delivers measurable value.
Collaborative analysis: one agent queries ShadowBot while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ShadowBot, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ShadowBot data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ShadowBot responses in a sandboxed execution environment
ShadowBot MCP Tools for AutoGen (10)
These 10 tools become available when you connect ShadowBot to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting ShadowBot to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ShadowBot + AutoGen FAQ
Common questions about integrating ShadowBot MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect ShadowBot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
