"Information about Jira Integration" 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.

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

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

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.

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

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.

Provides JIRA issue search, retrieval, and update functionalities via MCP.

MCP server for Jira integration enabling multi-instance routing, ADF formatting, task caching, and comment templates.

Exposes enterprise tools to third-party AI agents through a single guard that authorizes each call against default-deny, purpose-scoped entitlements, executes it, and writes a hash-chained, tamper-evident decision trace the firm owns. It also verifies signed vendor webhooks and enforces a strict versioned contract, so agent activity stays scoped, auditable, and portable across vendors.

Enables read-only querying of Jira Server/Data Center projects, issues, comments, transitions, and issue types through MCP tools.

Supercharge your AI assistant with seamless Jira integration. Enables AI assistants like GitHub Copilot and Claude to interact with your Jira Cloud instance.

Enables headless Jira Cloud automation via MCP: create issues and subtasks, read and JQL-search issues, inspect agile boards and swimlanes, move issues through workflows, and add comments and attachments.

A Model Context Protocol server for integrating JIRA with Claude, enabling AI assistants to create, search, update, and link JIRA tickets, as well as manage Zephyr test steps through natural language.

Enables interaction with Jira issues, projects, and comments via API Key. Supports operations like creating, updating, searching, transitioning issues, and managing projects.

MCP server for Jira Cloud tailored for ALM projects with Zephyr Scale integration, enabling issue management, sprint tracking, and test step operations.

Jira Pilot is an MCP server that provides 14 tools for AI assistants to manage Jira issues, sprints, boards, and more. It enables natural language interaction with Jira through the Model Context Protocol.

Enables AI assistants to manage Jira Cloud instances, including creating and updating issues, managing sprints and projects, adding comments, tracking worklogs, and searching with presets.

A Model Context Protocol (MCP) server that integrates with Atlassian Jira to search issues, retrieve details, access comments, create new issues, and update issues.

Connects Claude Code and other MCP clients to Jira Cloud, enabling AI agents to search issues with JQL, read issue details and comments, create Tasks, Bugs, or Stories, and add comments in a single workflow.

Enables read-only retrieval of Jira Cloud issues, JQL search, and project issue listing through MCP tools.

Comprehensive MCP server for Jira integration, enabling issue management, search, comments, attachments, and project metadata through 16 tools.

Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.

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.

Wraps JIRA Cloud REST API for AI-driven agile project management, enabling sprint health monitoring, label syncing, risk flagging, and audit receipt writing.

Enables an AI agent to manage Jira Stories in a self-hosted Jira instance via the Jira REST API v2, including CRUD operations, workflow transitions, and burndown data retrieval.

MCP server for Jira Cloud that lets AI agents search, read, and write Jira issues using your own Atlassian account and API token, with write operations gated behind explicit opt-in.