ONES 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 ONES 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="ones_agent",
tools=tools,
system_message=(
"You help users with ONES. "
"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 ONES MCP Server
Empower your AI agent to orchestrate your R&D lifecycle with ONES, the leading enterprise project management platform. By connecting ONES to your agent, you transform complex issue tracking, requirement management, and workflow auditing into a natural conversation. Your agent can instantly list your projects, create new tasks, update statuses, and even browse team members without you needing to navigate the comprehensive ONES dashboard. Whether you are following Scrum, Kanban, or Waterfall, your agent acts as a real-time R&D assistant, keeping your projects organized and your team aligned.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ONES tools. Connect 10 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.
What you can do
- Project Management — List all accessible projects and retrieve detailed information about your R&D workspace.
- Task Operations — Create, update, and track tasks with full support for summaries, descriptions, and assignees.
- Workflow Auditing — Browse project workflows and task types to understand your team's development process.
- Team Coordination — List organization members to manage assignments and collaboration effectively.
- Organization Insights — Retrieve high-level summaries of your ONES organization activity.
The ONES 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 ONES to AutoGen via MCP
Follow these steps to integrate the ONES 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 ONES automatically
Why Use AutoGen with the ONES MCP Server
AutoGen provides unique advantages when paired with ONES through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ONES tools to solve complex tasks
Role-based architecture lets you assign ONES 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 ONES tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ONES tool responses in an isolated environment
ONES + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ONES MCP Server delivers measurable value.
Collaborative analysis: one agent queries ONES while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ONES, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ONES data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ONES responses in a sandboxed execution environment
ONES MCP Tools for AutoGen (10)
These 10 tools become available when you connect ONES to AutoGen via MCP:
create_task
Create a new ONES task
get_org_info
Get organization summary
get_project
Get project details
get_task_details
Get task details
list_members
List organization members
list_projects
List all ONES projects
list_task_types
g., bug, task, story). List task types
list_tasks
List tasks in a project
list_workflows
List project workflows
update_task
Update an existing ONES task
Example Prompts for ONES in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with ONES immediately.
"List all my active R&D projects on ONES."
"Create a new task in project 'Mobile SDK' titled 'Implement OAuth2 login'."
"Show me the recent activity summary for our organization."
Troubleshooting ONES MCP Server with AutoGen
Common issues when connecting ONES to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ONES + AutoGen FAQ
Common questions about integrating ONES 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 ONES 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 ONES to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
