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_addcommenttojiraissue
Add a comment to an existing jira issue.
Add a comment to an existing jira issue.
Parameters
Name
Type
Required
Description
cloudId
string
Required
The cloud site ID (UUID) of your Atlassian instance. Use getAccessibleAtlassianResources to retrieve it.
commentBody
string
Required
The text content of the comment to add.
issueIdOrKey
string
Required
The Jira issue ID (e.g. 10001) or key (e.g. KAN-1).
commentVisibility
object
Optional
Restrict comment visibility as JSON (e.g. {"type": "role", "value": "Dev Team"}).
contentFormat
string
Optional
Format of the content body — use markdown for plain text or adf for Atlassian Document Format (JSON).
responseContentFormat
string
Optional
Format to return content in — markdown (default) or adf.
atlassianmcp_addworklogtojiraissue
Log time spent on a jira issue by adding a worklog entry.
atlassianmcp_atlassianuserinfo
Retrieve the profile information for the currently authentic
atlassianmcp_createcompasscomponent
Create a new component in atlassian compass (e.g. a service,
atlassianmcp_createcompasscomponentrelationship
Create a dependency or relationship between two compass comp
atlassianmcp_createcompasscustomfielddefinition
Define a new custom field for compass components in your wor
atlassianmcp_createconfluencefootercomment
Add a footer comment to a confluence page, blog post, or oth
atlassianmcp_createconfluenceinlinecomment
Add an inline comment anchored to selected text on a conflue
atlassianmcp_createconfluencepage
Create a new confluence page in a space, optionally nested u
atlassianmcp_createissuelink
Link two jira issues together with a relationship type (e.g.
atlassianmcp_createjiraissue
Create a new jira issue in a project with the specified summ
atlassianmcp_editjiraissue
Update fields on an existing jira issue, such as summary, pr
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
Engineering standup agent
Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.
ENGINEERING
Auto-release notes agent
Group merged GitHub PRs by feature, fix, or chore and publish release notes per tag. No manual changelog grooming.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought.
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""
}
}
}