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Vinkius

Jira Cloud MCP Server for AutoGen 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

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="jira_cloud_agent",
            tools=tools,
            system_message=(
                "You help users with Jira Cloud. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Jira Cloud
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Jira Cloud MCP Server

Empower your AI agents with Jira Cloud's powerful project management platform. This MCP server allows you to list and retrieve project details, search for issues using JQL, track priorities and statuses, and view dashboards directly through the Jira Cloud API. Ideal for automating software development workflows and team collaboration.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Jira Cloud 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.

The Jira Cloud 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 Jira Cloud to AutoGen via MCP

Follow these steps to integrate the Jira Cloud MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Jira Cloud automatically

Why Use AutoGen with the Jira Cloud MCP Server

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

01

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

02

Role-based architecture lets you assign Jira Cloud tool access to specific agents — a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Jira Cloud tool calls

04

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

Jira Cloud + AutoGen Use Cases

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

01

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

02

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

03

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

04

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

Jira Cloud MCP Tools for AutoGen (10)

These 10 tools become available when you connect Jira Cloud to AutoGen via MCP:

01

get_issue

g., "PROJ-123"). Returns descriptions, comments, priority, status, and custom fields. Essential for providing a full context of a specific work item. Retrieves details for a specific issue

02

get_myself

Useful for verifying identity and permissions. Gets current authenticated user info

03

get_project

g., "PROJ") or ID. Returns project lead, categories, and issue types. Use to understand the scope and configuration of a specific team's project. Retrieves details for a specific project

04

list_dashboards

Useful for identifying high-level visual reporting tools available to the user. Lists all Jira dashboards

05

list_issue_types

g., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types

06

list_priorities

g., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities

07

list_projects

Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira

08

list_statuses

g., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses

09

list_users

Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira

10

search_issues

JQL allows powerful filtering (e.g., "project = MYPROJ AND status = Open"). Returns issue keys, summaries, and statuses. Use this as the main tool for finding tasks or bugs based on flexible criteria. Searches for issues using Jira Query Language (JQL)

Example Prompts for Jira Cloud in AutoGen

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

01

"List all active projects in Jira."

02

"Search for all issues assigned to 'user@example.com'."

03

"Get details for issue 'PROJ-123'."

Troubleshooting Jira Cloud MCP Server with AutoGen

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

01

McpWorkbench not found

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

Jira Cloud + AutoGen FAQ

Common questions about integrating Jira Cloud MCP Server with AutoGen.

01

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 Jira Cloud tools during their conversation turns.
02

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.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Jira Cloud to AutoGen

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.