Atlas MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Atlas as an MCP tool provider through 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="atlas_agent",
tools=tools,
system_message=(
"You help users with Atlas. "
"8 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 Atlas MCP Server
The Atlas MCP Server provides a seamless natural language interface to your Atlas.so customer support platform. Empower your AI agent to manage your entire support operation, from ticket auditing to customer oversight and knowledge base access.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Atlas tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
Key Features
- Ticket Management — List all active support tickets, retrieve detailed conversation metadata, and create new tickets directly from your chat.
- Customer Oversight — Access and manage your customer database, including names, emails, and internal IDs.
- Knowledge Base Access — List help center articles to provide accurate information based on your organization's documentation.
- Team Monitoring — View a list of team users (agents) to understand your support capacity.
- Real-time Support Analytics — Quickly audit active conversations and customer needs using simple natural language commands.
- Secure API Integration — Uses your Atlas.so API Token for safe and authenticated access to your support data.
The Atlas MCP Server exposes 8 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 Atlas to AutoGen via MCP
Follow these steps to integrate the Atlas 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 8 tools from Atlas automatically
Why Use AutoGen with the Atlas MCP Server
AutoGen provides unique advantages when paired with Atlas through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Atlas tools to solve complex tasks
Role-based architecture lets you assign Atlas 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 Atlas tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Atlas tool responses in an isolated environment
Atlas + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Atlas MCP Server delivers measurable value.
Collaborative analysis: one agent queries Atlas while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Atlas, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Atlas data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Atlas responses in a sandboxed execution environment
Atlas MCP Tools for AutoGen (8)
These 8 tools become available when you connect Atlas to AutoGen via MCP:
create_ticket
Create a new support ticket
get_account_check
Verify Atlas account connection
get_customer
Get details for a specific customer
get_ticket
Get details for a specific ticket
list_articles
List help center articles
list_customers
List all customers in Atlas
list_tickets
List all support tickets in Atlas
list_users
List team users (agents)
Example Prompts for Atlas in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Atlas immediately.
"List all active support tickets in Atlas."
"Show me the details for ticket ID 'tick_12345'."
"Find all help articles related to 'Pricing'."
Troubleshooting Atlas MCP Server with AutoGen
Common issues when connecting Atlas to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Atlas + AutoGen FAQ
Common questions about integrating Atlas 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 Atlas 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.
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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 Atlas to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.