Jira

Live

OAUTH 2.0

DEVELOPER TOOLS

Developer Tools

Sprints, epics, and backlogs. Your team's entire delivery pipeline lives in Jira. Your agent can read, create, and transition issues, scoped to the boards the user has access to.

  • Acts as the user: Issue access and write actions stay tied to the Jira account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
Jira
agent · Acme Q3
Run
What bugs are blocking the current sprint in the platform project?
S
jira_issues_search
86ms
Project management agent
3 blocking bugs in current sprint: PLAT-412 (auth timeout, P1, unassigned), PLAT-408 (rate limit regression, P1, Sarah), PLAT-401 (webhook retry loop, P2, James).
Sources: 3 issues, PLAT sprint 24
jiramcp
3 issues
18:29
Message Claude...

Tools your project management agent reaches for on Jira, scoped per user.

CALL ANY TOOL
Search issues with JQL, manage sprints, update status, and log work. Same toolkit, every framework, no auth plumbing.
jira_agile_issue_estimation_get
Get agile issue estimation
Retrieve the estimation value of an issue for a specific board, along with the fieldId of the field used for estimation on that board (e.g. story points or original time estimate). The boardId is required to determine which field is used for estimation.
Parameters
Name
Type
Required
Description
boardId
integer
Required
The ID of the board required to determine which field is used for estimation. Returns 400 if not provided.
issueIdOrKey
string
Required
The ID or key of the requested issue
jira_agile_issue_estimation_set
Set agile issue estimation
jira_agile_issue_rank
Agile issue rank
jira_all_users_default_list
List all users default
jira_attachment_add
Add attachment
jira_attachment_delete
Delete attachment
jira_board_create
Create board
jira_board_quickfilters_list
List board quickfilters
jira_bulk_assignable_users_search
Search bulk assignable users
jira_component_get
Get component
jira_component_update
Update component
jira_dashboards_bulk_edit
Dashboards bulk edit
jira_epic_issues_remove
Remove epic issues
jira_fields_list
List fields
jira_groups_find
Groups find
jira_issue_comment_property_delete
Delete issue comment property
jira_issue_create_meta_fields_get
Get issue create meta fields
jira_issue_properties_bulk_set_by_issue
Issue issue properties bulk set by
jira_issue_types_list
List issue types
jira_issue_worklog_property_delete
Delete issue worklog property
jira_issues_archive
Archive issues
jira_issues_bulk_create
Create issues bulk
jira_issues_bulk_fetch
Fetch issues bulk
jira_jql_parse
Parse jql
jira_my_permissions_get
Get my permissions
jira_notification_scheme_update
Update notification scheme
jira_project_role_details_list
List project role details
jira_related_work_delete
Delete related work
jira_share_permission_get
Get share permission
jira_status_categories_list
List status categories

For more tools, view docs.

Build your Agent
Drop the toolkit in, point it at the user, and your agent can search Jira issues with JQL, create tickets, and transition status from the first run.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["jira"], toolNames: ["jira_issues_search", "jira_issue_get", "jira_issue_create"] },
pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));

const agent = createReactAgent({ llm, tools: lcTools });
import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["jira"], toolNames: ["jira_issues_search", "jira_issue_get", "jira_issue_create"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));

const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});
import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["jira"], toolNames: ["jira_issues_search", "jira_issue_get", "jira_issue_create"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});
import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/jira",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});

const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
Try these prompts
Paste any prompt into your agent to start managing Jira workflows.
Search & recall
Copy the prompt
Copied
List all open bugs in [project] assigned to me.
Copy the prompt
Copied
Run a JQL query: project=PLAT AND sprint in openSprints() AND type=Bug.
Copy the prompt
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What issues are blocking the current sprint?
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Find all stories in epic [epic name] with status In Progress.
Action & creation
Copy the prompt
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Create a bug in [project]: [title] — [description], priority High.
Copy the prompt
Copied
Move issue [PROJ-123] to status In Progress.
Copy the prompt
Copied
Assign [PROJ-456] to [person name].
Copy the prompt
Copied
Create a story in [project] for [epic name]: [details].
Sprints & reporting
Copy the prompt
Copied
What is in the current sprint for [project]?
Copy the prompt
Copied
How many open issues are there by priority in [project]?
Copy the prompt
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List all issues closed this week in [project].
Copy the prompt
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Which epics have the most open issues?
SEE HOW AUTH WORKS
Users authorize Jira once. Their Atlassian credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
Jira
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
Jira
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
Jira
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
Jira
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
Same per-user auth pattern across other project management agents and MCP connectors. Working code, live demos, fork what fits.
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
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.
Engineering Teams
Auto release notes agent
Reads merged GitHub PRs, groups them into structured release notes, publishes the page to Notion, and announces the release in Slack. Every call runs on the engineer's 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.
Test other agents
Same per-user auth pattern across other project management agents and MCP connectors. Working code, live demos, fork what fits.
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.
ENGINEERING
Auto-release notes agent
Group merged GitHub PRs into structured release notes, publish the page to Notion, and announce the release in Slack.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Issues updated under the admin profile
A shared Jira admin token bypasses project-level permissions. In production, every issue query and update runs under the admin profile. Project roles break. Per-user sprint capacity visibility breaks. Scalekit resolves the project manager's own credential, so Jira enforces the right access rules.
// shared bot token
token = "sk_jira_shared_xxx"
audit → bot_service_account
user_filter → broken

// scalekit · per-user
token = resolve(user_id)
audit → user_abc
scope → enforced ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
Jira today. Linear, GitLab, Notion 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 Jira 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 Jira oauth 2.0 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 Jira?
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 Jira.

What happens when a user revokes Jira 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.

Can the agent run JQL across all projects?
Only projects the authorizing user can see in Jira. JQL respects project permissions, issue security levels, and field-level visibility. Cross-project visibility mirrors the user's actual scope.

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"": {
""jira"": {
""url"": ""https://mcp.scalekit.com/jira"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.jira]
url = ""https://mcp.scalekit.com/jira""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""jira"": {
""url"": ""https://mcp.scalekit.com/jira"",
""type"": ""http""
}
}
}