DoiT 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 DoiT 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="doit_agent",
tools=tools,
system_message=(
"You help users with DoiT. "
"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 DoiT MCP Server
Integrate DoiT, the leading cloud cost management and optimization platform, directly into your AI workflow. Manage your multi-cloud assets across AWS, Google Cloud, and Microsoft Azure, monitor real-time cost anomalies and budgets, and track your cloud spending using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DoiT 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
- Cloud Oversight — List and retrieve detailed configuration and cost data for all your cloud assets and connected accounts.
- Anomaly Intelligence — Monitor real-time cost anomalies and unexpected spending spikes across your cloud infrastructure.
- Budget Monitoring — Track cloud spending budgets, threshold limits, and current consumption percentages.
- Cost Auditing — Retrieve high-level summaries of total cloud expenditure and identify high-severity cost spikes instantly.
The DoiT 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 DoiT to AutoGen via MCP
Follow these steps to integrate the DoiT 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 DoiT automatically
Why Use AutoGen with the DoiT MCP Server
AutoGen provides unique advantages when paired with DoiT through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DoiT tools to solve complex tasks
Role-based architecture lets you assign DoiT 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 DoiT tool calls
Code execution sandbox: AutoGen agents can write and run code that processes DoiT tool responses in an isolated environment
DoiT + AutoGen Use Cases
Practical scenarios where AutoGen combined with the DoiT MCP Server delivers measurable value.
Collaborative analysis: one agent queries DoiT while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from DoiT, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using DoiT data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process DoiT responses in a sandboxed execution environment
DoiT MCP Tools for AutoGen (10)
These 10 tools become available when you connect DoiT to AutoGen via MCP:
get_asset_details
Get detailed configuration and cost data for a specific cloud asset
get_billing_cost_summary
Retrieve a high-level summary of total cloud spending across all platforms
get_doit_account_metadata
Retrieve metadata for the current DoiT organization
list_cloud_assets
List all cloud assets (AWS, GCP, Azure) managed by DoiT
list_connected_cloud_accounts
List all connected AWS, GCP, or Azure accounts
list_cost_anomalies
List all detected cloud cost anomalies and unexpected spending spikes
list_cost_budgets
List all cloud spending budgets configured in DoiT
list_critical_cost_spikes
Identify high-severity cost anomalies that require immediate attention
list_exceeded_cost_budgets
Identify budgets that have exceeded their configured spending limits
search_cloud_assets
Search for cloud assets using a name keyword
Example Prompts for DoiT in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with DoiT immediately.
"Show me our total cloud cost summary."
"Are there any critical cost anomalies right now?"
"List all budgets that have exceeded 100% consumption."
Troubleshooting DoiT MCP Server with AutoGen
Common issues when connecting DoiT to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"DoiT + AutoGen FAQ
Common questions about integrating DoiT 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 DoiT 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 DoiT to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.