"Information about Jira software and tools" matching MCP servers:

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

An async MCP server for JIRA integration, enabling AI assistants to search, create, and manage JIRA issues via JQL and other operations.

Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.

MCP server for Jira Cloud enabling issue tracking, comments, transitions, and attachments management through natural language.

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

A Model Context Protocol (MCP) server that provides tools for interacting with Jira. Enables Cursor and other MCP clients to fetch tickets, manage linked tickets, and update ticket status.

Enables MCP clients to read and create Jira issues against Jira Cloud or Data Center through a self-hosted FastMCP server with secure authentication and configurable fields.

MCP server providing access to JIRA data with relationship tracking, optimized payloads, and data cleaning for AI contexts. Supports both Jira Cloud and Server/Data Center.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

Enables AI assistants to access and manage Jira boards, sprints, epics, issues, JQL searches, transitions, comments, worklogs, projects, users, and any REST endpoint across Jira Cloud and Data Center.

Enables MCP clients to work with self-hosted Jira Server / Data Center 8.x through entity-based core tools, JSON-declared plugin tools, and bundled Zephyr Scale. It supports issue, comment, worklog, attachment, project, user, link, watcher, agile, and test management operations using Basic Auth or PAT with runtime field discovery.

MCP server for fetching Jira issue data via the Jira API.

This MCP server enables interaction with Atlassian products (Jira and Confluence), with additional tools for uploading attachments, embedding images, and commenting with images. It supports both Cloud and Server/Data Center deployments.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

Exposes generic Jira REST tools and native Jira Product Discovery operations for Jira Cloud, including insights and attachments.

Enables logging time entries to Jira Cloud issues, including adding worklogs, listing existing entries, and verifying credentials.