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MCP Integrations Jira Data Center
MCP & AI Agent Integration

Jira Data Center
automation.

14 AI agent actions for Jira Data Center — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Jira Data Center to create tasks, update project status, and coordinate work across teams automatically. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
14
actions
100%
governed
<200ms
latency
14
AI agent actions
8
Read operations
6
Write operations
1
High-risk actions (approval gated)
Productivity Jira Data Center is a Productivity integration — use it to automate tasks, projects, and team workflows from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Jira Data Center.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Comments
jira_data_center:get_comments
Get all comments for an issue with pagination support.
Read Low risk
Get Issue
jira_data_center:get_issue
Fetch a single issue by key or ID with full details including status, assignee, and custom fields.
Read Low risk
Get Project
jira_data_center:get_project
Get detailed information about a specific project including issue types and components.
Read Low risk
Get Transitions
jira_data_center:get_transitions
Get all available transitions for an issue based on its current status and workflow.
Read Low risk
Get User
jira_data_center:get_user
Get detailed information about a specific user including their display name and email.
Read Low risk
List Issues
jira_data_center:list_issues
Search for issues using JQL with pagination support. Returns key issue details.
Read Low risk
List Projects
jira_data_center:list_projects
List all projects visible to the current user with basic information.
Read Low risk
Search Users
jira_data_center:search_users
Search for users by username, display name, or email address.
Read Low risk
Add Comment
jira_data_center:add_comment
Add a comment to an issue. Comments are visible to users with appropriate permissions.
Write Medium risk
Assign Issue
jira_data_center:assign_issue
Assign an issue to a user or unassign it. Use "null" to remove the current assignee.
Write Medium risk
Create Issue
jira_data_center:create_issue
Create a new issue in the specified project with the given details.
Write Medium risk
Delete Issue
jira_data_center:delete_issue
Permanently delete an issue. This action cannot be undone.
Write High risk
Transition Issue
jira_data_center:transition_issue
Transition an issue to a new status (e.g., move from "To Do" to "In Progress").
Write Medium risk
Update Issue
jira_data_center:update_issue
Update an existing issue with new field values. Only provided fields will be updated.
Write Medium risk
MCP & Runtime API

Call Jira Data Center
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Jira Data Center actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

jira_data_center:get_comments READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "jira_data_center:get_comments",
    "args": {},
    "execution_id": "agent-001"
  }'
jira_data_center:add_comment WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "jira_data_center:add_comment",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Jira Data Center.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Jira Data Center data
Call jira_data_center:get_comments via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Jira Data Center
Dry-run validates jira_data_center:add_comment before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Task or project event
Update status automatically
Notify assignees
Sync across tools
How it works

Every Jira Data Center action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Jira Data Center — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Jira Data Center action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Jira Data Center action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Jira Data Center works best
alongside these.

Build multi-step workflows that connect Jira Data Center to the rest of your stack. All governed. All audited.

Asana Jira Notion Github Slack
Jira Data Center integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Jira Data Center in minutes, dry-run every action before it touches production, full audit trail on everything.

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