Atlassian Rovo MCP

Live

OAUTH 2.0

PROJECT MANAGEMENT

Project Management

Connect to Atlassian Rovo MCP server to manage Jira issues, Confluence pages, and Compass components directly from your AI workflows.

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Atlassian Rovo MCP
agent · Acme Q3
Run
Addcommenttojiraissue in Atlassian Rovo MCP
S
atlassianmcp_addcommenttojiraissue
85ms
Atlassian Rovo MCP agent
Add a comment to an existing jira issue..
Sources: Atlassian Rovo MCP
atlassianmcpmcp
1 tool call
18:29
Message Claude...

Atlassian Rovo MCP tools for AI agents

CALL ANY TOOL
12 tools covering addcommenttojiraissue, addworklogtojiraissue, atlassianuserinfo.
atlassianmcp_fetch
Fetch
Fetch details about any Atlassian object by its ARI (Atlassian Resource Identifier) or URL.
Parameters
Name
Type
Required
Description
id
string
Required
An ARI or URL identifying the object (e.g. ari:cloud:jira:...:issue/10059 or https://site.atlassian.net/browse/KAN-1).
cloudId
string
Optional
The cloud site ID (UUID) of your Atlassian instance. Use getAccessibleAtlassianResources to retrieve it.
atlassianmcp_search
Search
atlassianmcp_getjiraissue
Getjiraissue
atlassianmcp_editjiraissue
Editjiraissue
atlassianmcp_createissuelink
Createissuelink
atlassianmcp_createjiraissue
Createjiraissue
atlassianmcp_atlassianuserinfo
Atlassianuserinfo
atlassianmcp_getconfluencepage
Getconfluencepage
atlassianmcp_getissuelinktypes
Getissuelinktypes
atlassianmcp_getcompasscomponent
Getcompasscomponent
atlassianmcp_getconfluencespaces
Getconfluencespaces
atlassianmcp_lookupjiraaccountid
Lookupjiraaccountid
atlassianmcp_transitionjiraissue
Transitionjiraissue
atlassianmcp_createconfluencepage
Createconfluencepage
atlassianmcp_getcompasscomponents
Getcompasscomponents
atlassianmcp_updateconfluencepage
Updateconfluencepage
atlassianmcp_addcommenttojiraissue
Addcommenttojiraissue
atlassianmcp_addworklogtojiraissue
Addworklogtojiraissue
atlassianmcp_createcompasscomponent
Createcompasscomponent
atlassianmcp_getteamworkgraphobject
Getteamworkgraphobject
atlassianmcp_getvisiblejiraprojects
Getvisiblejiraprojects
atlassianmcp_getteamworkgraphcontext
Getteamworkgraphcontext
atlassianmcp_searchconfluenceusingcql
Searchconfluenceusingcql
atlassianmcp_searchjiraissuesusingjql
Searchjiraissuesusingjql
atlassianmcp_getpagesinconfluencespace
Getpagesinconfluencespace
atlassianmcp_gettransitionsforjiraissue
Gettransitionsforjiraissue
atlassianmcp_getconfluencecommentchildren
Getconfluencecommentchildren
atlassianmcp_getconfluencepagedescendants
Getconfluencepagedescendants
atlassianmcp_getjiraissueremoteissuelinks
Getjiraissueremoteissuelinks
atlassianmcp_createconfluencefootercomment
Createconfluencefootercomment
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="atlassianmcp")

mcp = MultiServerMCPClient({
"atlassianmcp": {
"url": "https://mcp.scalekit.com/atlassianmcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "atlassianmcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/atlassianmcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "atlassianmcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/atlassianmcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="atlassianmcp")
# Connect to MCP at https://mcp.scalekit.com/atlassianmcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
create, edit, transition, comment on, and link issues; add worklogs?
Copy the prompt
Copied
query issues using Jira Query Language with full field and filter support?
Advanced
Copy the prompt
Copied
create, update, and retrieve pages; add footer and inline comments?
Copy the prompt
Copied
create, get, and search services, libraries, and applications; define custom fields and relationships?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Atlassian Rovo MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Atlassian Rovo MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Atlassian Rovo MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Atlassian Rovo MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
Engineering Teams
Engineering standup agent
Pulls commits from GitHub and GitLab, tracks issue movement in Jira, and posts a per-engineer standup brief to Slack. Each engineer's activity is read on their own delegated OAuth.
Engineering Teams
DevOps assistant agent
Polls GitHub for failing checks and stale PRs, opens Linear issues for the ones that need work, and posts a daily digest to Slack. It acts as the engineer, not a shared service account.
Engineering Teams
Slack triage
Polls Slack for new messages, classifies bugs and support requests with a LangGraph router, files GitHub issues or Zendesk tickets, and confirms in the thread.
People Ops and HR teams
Performance review collector
Collects review feedback from Airtable and Google Forms scoped to each manager's direct reports, writes per-employee summaries to Notion, and DMs the manager a Slack digest.
Test other agents
See the same per-user auth pattern across other connectors.
ENGINEERING
Engineering standup agent
Pull commits from GitHub and GitLab, track Jira issue movement, and post a per-engineer standup brief to Slack.
ENGINEERING
DevOps assistant agent
Poll GitHub for failing checks and stale pull requests, open Linear issues for the ones that need work, and digest to Slack.
ENGINEERING
Slack triage agent
Classify new Slack messages as bugs or support requests, file the GitHub issue or Zendesk ticket, and reply in the thread.
PEOPLE OPS
Performance review collector agent
Collect review feedback from Airtable and Google Forms per manager, summarise each report in Notion, and DM the digest in Slack.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Atlassian Rovo as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Atlassian Rovo OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Atlassian Rovo?
Yes. Pass a tool name filter to listScopedTools so the project management agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Atlassian Rovo.

What happens when a user revokes Atlassian Rovo access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Does the agent respect Jira and Confluence permissions?
Yes. Issue comments, worklogs, and Compass changes run as the authorizing user through Rovo. Project permissions, issue security levels, and space restrictions all hold.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""atlassianmcp"": {
""url"": ""https://mcp.scalekit.com/atlassianmcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.atlassianmcp]
url = ""https://mcp.scalekit.com/atlassianmcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""atlassianmcp"": {
""url"": ""https://mcp.scalekit.com/atlassianmcp"",
""type"": ""http""
}
}
}