Data Profiler vs Mcp Server Atlassian Jira

D

jira_get

Read any Jira data. Returns TOON format by default (30-60% fewer tokens than JSON). **IMPORTANT - Cost Optimization:** - ALWAYS use `jq` param to filter response fields. Unfiltered responses are very expensive! - Use `maxResults` query param to restrict result count (e.g., `maxResults: "5"`) - If unsure about available fields, first fetch ONE item with `maxResults: "1"` and NO jq filter to explore the schema, then use jq in subsequent calls **Schema Discovery Pattern:** 1. First call: `path: "/rest/api/3/search/jql", queryParams: {"maxResults": "1", "jql": "project=PROJ"}` (no jq) - explore available fields 2. Then use: `jq: "issues[*].{key: key, summary: fields.summary, status: fields.status.name}"` - extract only what you need **Output format:** TOON (default, token-efficient) or JSON (`outputFormat: "json"`) **Common paths:** - `/rest/api/3/project` - list all projects - `/rest/api/3/project/{projectKeyOrId}` - get project details - `/rest/api/3/search/jql` - search issues with JQL (use `jql` query param). NOTE: `/rest/api/3/search` is deprecated! - `/rest/api/3/issue/{issueIdOrKey}` - get issue details - `/rest/api/3/issue/{issueIdOrKey}/comment` - list issue comments - `/rest/api/3/issue/{issueIdOrKey}/worklog` - list issue worklogs - `/rest/api/3/issue/{issueIdOrKey}/transitions` - get available transitions - `/rest/api/3/user/search` - search users (use `query` param) - `/rest/api/3/status` - list all statuses - `/rest/api/3/issuetype` - list issue types - `/rest/api/3/priority` - list priorities **JQ examples:** `issues[*].key`, `issues[0]`, `issues[*].{key: key, summary: fields.summary}` **Example JQL queries:** `project=PROJ`, `assignee=currentUser()`, `status="In Progress"`, `created >= -7d` API reference: https://developer.atlassian.com/cloud/jira/platform/rest/v3/