How do I find my GitHub Repository ID?

You can find your Repository ID in your GitHub settings, or use a GitHub MCP server to query your repository metadata.

Can I move an issue to a different pipeline using this agent?

Yes, the `move_issue_between_pipelines` tool allows you to specify a workspace, repository, issue number, and target pipeline ID to update the status.

Is it possible to set story point estimates?

Absolutely. Use the `set_issue_estimate` tool with the repository ID, issue number, and your desired point value.

ZenHub MCP Server for AutoGen 8 tools — connect in under 2 minutes

Name: ZenHub
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ZenHub as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="zenhub_agent",
            tools=tools,
            system_message=(
                "You help users with ZenHub. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 ZenHub MCP Server

Connect your ZenHub account to any AI agent to streamline your agile project management on GitHub. This MCP server enables your agent to interact with pipelines, issues, estimates, and epics directly from natural language.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ZenHub tools. Connect 8 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

Board Visibility — List all pipelines and issues for specific GitHub repositories or ZenHub workspaces
Agile Status Management — Move issues between pipelines to update their workflow status instantly
Precision Estimating — Set and retrieve story point estimates for any GitHub issue
Epic Oversight — List and inspect ZenHub epics and their constituent issues
Release Tracking — Access release reports and progress metadata for your projects

The ZenHub 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 ZenHub to AutoGen via MCP

Follow these steps to integrate the ZenHub 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 ZenHub automatically

Why Use AutoGen with the ZenHub MCP Server

AutoGen provides unique advantages when paired with ZenHub through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ZenHub tools to solve complex tasks

Role-based architecture lets you assign ZenHub 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 ZenHub tool calls

Code execution sandbox: AutoGen agents can write and run code that processes ZenHub tool responses in an isolated environment

ZenHub + AutoGen Use Cases

Practical scenarios where AutoGen combined with the ZenHub MCP Server delivers measurable value.

Collaborative analysis: one agent queries ZenHub while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from ZenHub, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using ZenHub data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process ZenHub responses in a sandboxed execution environment

ZenHub MCP Tools for AutoGen (8)

These 8 tools become available when you connect ZenHub to AutoGen via MCP:

get_epic_data

Get details for a specific epic

get_repo_board

Get the ZenHub board for a repository

get_workspace_board

Get the ZenHub board for a specific workspace and repository

get_zenhub_issue_data

Get ZenHub-specific metadata for a GitHub issue

list_release_reports

List release reports for a repository

list_repo_epics

List all ZenHub epics for a repository

move_issue_between_pipelines

Move an issue to a different pipeline

set_issue_estimate

Set the story point estimate for an issue

Example Prompts for ZenHub in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with ZenHub immediately.

"Show me the ZenHub board for repository ID '12345678'."

"Move issue #45 in repo '12345678' to the 'In Progress' pipeline (ID: '56789') in workspace '98765'."

"What are the estimates for all issues in the current epic?"

Troubleshooting ZenHub MCP Server with AutoGen

Common issues when connecting ZenHub to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

ZenHub + AutoGen FAQ

Common questions about integrating ZenHub MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call ZenHub tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.