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    Jira Ticket Fetcher

    1

    Fetch real-time Jira ticket status, assignee, and summaries via the REST API. No MCP server required.

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    Jira Ticket Fetcher

    Jira Ticket Fetcher

    Example session with this skill installed

    Check the status and assignee for ticket DEV-402 and give me the link.

    • Read your context and instructions
    • Compiled the jira ticket fetcher

    Stop copy-pasting Jira tickets into your AI agent.

    This self-contained skill gives your agent the ability to read real-time data from your Atlassian workspace. It calls the Jira REST API directly, so you don't need to host an MCP server or install any extra dependencies.

    What it does

    When a user asks about a ticket, the agent runs the included Python script, which fetches:

    • The ticket summary
    • The current status
    • The assigned team member
    • A direct link to the issue

    Setup

    The skill requires three standard environment variables (JIRA_BASE_URL, JIRA_EMAIL, JIRA_API_TOKEN). Setup instructions are included in the reference/setup.md file inside the ZIP.

    Why it's secure

    This skill uses standard Basic Auth. It does not store, log, or transmit your credentials anywhere other than your own Jira instance.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop manually logging into Jira to check on task progress. This skill fetches real-time issue data directly from the Jira REST API, providing immediate visibility into ticket status and ownership without leaving your terminal or agent interface.

    What it does

    • Fetch metadata retrieves the summary, current status, and assignee for any valid Jira issue key.
    • Generate links automatically constructs the direct browse URL for the ticket.
    • Standardized output returns data in a clean JSON format for easy parsing by other tools or agents.

    How it works

    1. Target an issue by providing a specific Jira ticket key such as PROJ-123.
    2. Execute the fetch via the provided Python runner script.
    3. Receive structured data containing the summary, status, assignee, and direct URL.

    Frameworks & tools

    This skill uses Python and the Jira REST API via Basic Auth. It requires JIRA_BASE_URL, JIRA_EMAIL, and JIRA_API_TOKEN environment variables.

    Why this beats prompting it yourself

    Most agents hallucinate ticket statuses or rely on outdated context. This skill bridges the gap to live production data, ensuring you never act on a ticket that was closed ten minutes ago.

    Use cases

    • Check if a specific bug is still marked as In Progress.
    • Identify the assignee for a blocker before pinging a team.
    • Gather ticket summaries for automated daily standup reports.

    Known limitations

    Requires pre-configured environment variables and an Atlassian API token. It only fetches single tickets and does not support bulk exports or JQL queries.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for APIs & Backend.

    Requires JIRA_BASE_URL, JIRA_EMAIL, and JIRA_API_TOKEN environment variables. Supports single ticket fetching only, no JQL or bulk operations.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Accounts
    GitHubAtlassian
    Software
    Python

    Requires Python 3.9+ and a Jira API token (JIRA_BASE_URL, JIRA_EMAIL, JIRA_API_TOKEN). No external packages needed.

    Permissions

    Terminal / Shell
    Network Access
    Environment Variables

    Allowed Hosts

    api.github.com
    atlassian.net

    1. Generate a classic Jira API token at: https://id.atlassian.com/manage-profile/security/api-tokens 2. Set the following environment variables in your agent's environment: - `JIRA_BASE_URL` (e.g., https://yourcompany.atlassian.net) - `JIRA_EMAIL` (your Atlassian account email) - `JIRA_API_TOKEN` (the token you just generated)

    Listed3 days ago
    Updatedtoday

    What's inside

    Frequently Asked Questions

    Q: Do I need an MCP server to use this? A: No. This is a self-contained skill. It runs a Python script directly to fetch the data. Q: What credentials do I need? A: You need your Jira Base URL, your account email, and a classic Jira API token.

    1. Generate a classic Jira API token at: https://id.atlassian.com/manage-profile/security/api-tokens 2. Set the following environment variables in your agent's environment: - `JIRA_BASE_URL` (e.g., https://yourcompany.atlassian.net) - `JIRA_EMAIL` (your Atlassian account email) - `JIRA_API_TOKEN` (the token you just generated)

    The skill is designed as a standalone Python-based tool that returns structured JSON, making it compatible with any LLM framework or agentic platform that supports external script execution.

    Currently, this skill is optimized for fetching data for one specific ticket key at a time; it does not support complex JQL queries or bulk exports in its current version.

    Upon purchase, you receive the full Python runner script, setup documentation for environment variables, and the schema definitions required to integrate the tool with your AI agent.

    New in APIs & Backend