MCP Protocol • Claude AI

Ask Claude about
your Jira & Confluence

Natural language queries to your project data. "Show me all P0 bugs assigned to Sarah" or "What does our deployment guide say about rollbacks?" — Claude answers instantly.

You: "Create a ticket for the login bug Sarah mentioned"
Claude: ✓ Created PROJ-1247: Fix OAuth redirect loop in login flow

                    Assigned to: Sarah Chen

                    Priority: High • Sprint: Current

Context switching kills productivity

You're in Claude, coding or writing. You need to check Jira. Tab switch. Search. Click. Read. Tab back. Lost your flow.

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JQL is powerful but painful

"project = CORE AND status = 'In Progress' AND assignee = currentUser() AND sprint in openSprints()" — or just ask Claude "What am I working on this sprint?"

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Knowledge buried in Confluence

Deployment runbook is somewhere. Search returns 47 pages. Which is current? Claude searches, reads, and summarizes across all your Confluence spaces.

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Creating tickets takes forever

Open Jira → Select project → Fill 8 fields → Link epics → Tag → Submit. Or: tell Claude what needs fixing, get a ticket in 5 seconds.

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No context in AI chats

Claude can write code, but doesn't know your team's conventions, project status, or who owns what. JiraContext connects the dots.

How JiraContext works

Model Context Protocol (MCP) server that connects Claude to Atlassian APIs

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Natural language queries

"Show me last week's deployments" → Claude pulls release notes, tickets merged, who deployed. No JQL, no clicking, just answers.

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Instant ticket creation

Describe the issue in plain English. Claude creates the ticket with smart defaults: project, type, priority, assignee based on your conversation context.

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Confluence knowledge retrieval

Ask about architecture, runbooks, team docs. Claude searches across all spaces, summarizes findings, cites sources with links.

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Sprint insights

"How's our current sprint tracking?" → Claude analyzes velocity, blockers, risk areas. Daily standup prep in one question.

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Context-aware suggestions

Writing code? Claude knows related tickets, past decisions from Confluence, who to ask for review based on Jira history.

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Secure & private

MCP runs locally on your machine. Your Jira/Confluence data never leaves your network except via official Atlassian APIs you control.

Frequently Asked Questions

What's MCP (Model Context Protocol)?

MCP is Anthropic's open standard for connecting Claude to external tools and data sources. JiraContext is an MCP server that bridges Claude to Jira/Confluence APIs.

Does this work with Jira Cloud and Server?

Jira Cloud: yes (via REST API). Jira Server/Data Center: yes (same REST API, self-hosted). Confluence Cloud and Server also supported.

Do I need to expose my Jira to the internet?

No! MCP runs locally on your machine. It makes API calls to Jira using your credentials. No incoming connections, no data sent to third parties (except Anthropic for Claude).

What about Atlassian's official AI features?

Atlassian Intelligence is great for in-Jira AI. JiraContext brings Jira context into Claude where you're already working (coding, writing, planning). Different use cases.

Can Claude edit tickets or just read them?

Both! Claude can create tickets, update fields, add comments, transition statuses, link issues. Full CRUD via Jira API. You control permissions via your Jira API token.

What does this cost?

Free during beta (Q2-Q3 2026). Post-beta: $15/user/month for unlimited queries. Includes updates, support, and access to future integrations (GitHub, Linear, Notion).

Ask Claude about your Jira & Confluence