Agents find blocked and at-risk issues in the active sprint.
Project management
Jira MCP server
Give AI agents governed access to the Jira MCP server through one audited gateway. Scoped permissions, full observability, and tamper-evident logs on every tool call.
What is the Jira MCP server?
The Jira MCP server is an open Model Context Protocol (MCP) server that connects AI agents to Jira issues, projects, sprints, and boards. Through it an agent can search and triage issues, create and transition tickets, and read sprint status without bespoke integration code, while the Averta MCP Gateway keeps every action scoped and audited.
jira-search-issues
Search issues with JQL.
jira-create-issue
Create issues with type, priority, and labels.
jira-update-issue
Update issue fields and priority.
jira-transition-issue
Move an issue through its workflow.
jira-list-projects
List projects and their leads.
jira-add-comment
Add a comment to an issue.
jira-get-sprint
Read a sprint and its issues.
jira-assign-issue
Assign an issue to a team member.
jira-list-boards
List boards and their columns.
jira-list-issue-types
Read the issue types and fields for a project.
Why the Averta MCP Gateway
Centralized governance
Unified authentication, audit logging, and rate control for every Jira MCP connection.
Observability and control
Real-time visibility into usage, anomalies, and SLA compliance across every request.
One-click deployment
Enable the Jira MCP server for your AI teams through one governed gateway, with no manual setup.
Enterprise hardening
High availability, security, and compliance alignment turn MCP from a developer utility into production-grade infrastructure.
OAuth and SSO enforcement
Enterprise authentication and SSO applied automatically to every Jira endpoint.
Shared and per-user auth
Configure service accounts or per-user access, with secrets protected and centralized revocation.
One managed endpoint
Connect agents to Jira through a single governed endpoint instead of locally run servers, improving your security posture.
Granular tool access control
Allow only the tools each role needs. Enable read-only access and block write tools like create and delete.
Works with every major AI platform
ChatGPT
Gemini
Mistral
Claude Code
Cursor
Windsurf
Cognition
OpenCode
Continue
Manus
Hermes
Lindy
OpenClaw
Your ownBuilt for enterprise teams.
Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.
Cloud (SaaS)
Fully managed by Averta. Fastest path to production, no infrastructure to run.
Private / VPC
Deploy in your own environment, so data never leaves your boundary.
Embedded SDK & Proxy
Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.
Gateway Integration
Route agent traffic through the gateway, so policy and audit apply at the edge.
Jira MCP use cases
Where teams put the Jira MCP server to work, governed end to end through the Averta MCP Gateway.
Jira MCP · Sprint triageWhat is blocked in the current sprint?
YouFlagged the blocked issues.
- Searching the sprint
- Filtering blocked issues
All actions logged and governed
Powering safe AI execution at leading teams.
Cyfrin secures its production AI agents with Averta.
Book a demo“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”
Mikhail Karan
Head of Engineering
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Jira MCP server, answered
Security and setup questions teams ask before connecting the Jira MCP server to AI agents.
Yes. The Averta MCP Gateway sits between your AI agents and any MCP server, giving each agent scoped, per-agent permissions, applying allow, escalate, or block policies on every tool call, and recording a tamper-evident audit of every action. The “Why the Averta MCP Gateway” section on this page covers what it enforces.
It is as safe as the controls around it. The server can read and write issues and workflow states through one token, so scoping and auditing matter. The Averta MCP Gateway limits what each agent can reach and records every action.
Yes. Tool-level policy lets search and read run automatically while transitions and edits escalate for approval, all recorded.
Route agents through Averta's MCP Gateway for scoped per-agent permissions, tool-level policy, and tamper-evident audit across every Jira action.
Yes. Atlassian provides an official MCP server for Jira (the Atlassian Remote MCP Server). Whichever server you run, routing it through the Averta MCP Gateway gives each agent scoped project access with a tamper-evident audit trail.
Any MCP-compatible client, including Claude Code and Cursor, can connect to the Jira MCP server. Pointing those clients at the Averta MCP Gateway instead of the raw server adds scoped permissions, approval policies, and a tamper-evident log without changing the client setup.
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