"Information about Jira Integration" matching MCP servers:

Enables AI agents to interact with Jira Cloud through the REST API, supporting project management, issue operations (create, read, update, delete), JQL search, task assignments, and status transitions.

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

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.

Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.

Enables control and interaction with Jira through the Jira Command Line interface, allowing users to manage Jira tasks and operations through natural language commands.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

Provides integration with Jira's REST API, allowing AI assistants to manage Jira issues programmatically.

Jira Cloud MCP server providing Jira-first tools for common workflows and full REST API coverage through a generic request tool.

An MCP server for Jira Data Center that enables searching, analyzing, and managing Jira through its REST API, with permission policy, preview-before-change, audit trail, and reporting tools.

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.

Enables AI agents to read Jira Cloud issues and attachments such as screenshots and video frames, search issues, add comments, and create issues using per-user OAuth, while preventing edits or deletions.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

MCP server for Jira ticket context via REST API — read issues, search, post comments with @mentions.

An MCP server that connects any two systems so an agent can explore both, map between them, and run real data transfers — then shows its working in a run folder you can audit afterwards.

Enables ChatGPT to generate images, videos, and scenes through FrameForge, and open the full FrameForge experience, with secure OAuth-based authentication.

Enables AI clients to manage Jira Cloud issues, comments, attachments, and transitions through natural language.

Enables Claude AI and other MCP clients to interact with Jira Server/Data Center through tools like listing issues, logging work, and updating issues, requiring user confirmation for write operations.

MCP server enabling AI assistants to interact with Jira, scoped to a single project. Supports stdio and HTTP transports for issue management operations.

A Model Context Protocol (MCP) server for integrating with the SATIM payment gateway system in Algeria, enabling AI assistants to process CIB/Edhahabia card payments through the SATIM-ePAY platform.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.

An MCP server that allows management of Jira Insights (JSM) asset schemas, enabling CRUD operations for object schemas, object types, and objects through the Model Context Protocol.

MCP server that connects AI assistants to your Jira site, supporting PAT or SSO authentication for search, read, create, update, and delete operations on issues.

Connects Jira with Claude, enabling users to search issues, view issue details, update issues, add comments, and retrieve project information through natural language commands.

An MCP server that enables AI assistants to interact with JIRA, allowing for querying issue details, creating and updating work items, and managing attachments through a standardized interface.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.

A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.

Manages Atlassian Jira Cloud projects, issues, sprints, boards, worklogs, comments, and workflow transitions from MCP-compatible clients.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

A production-ready server that automatically exposes your entire Jira instance through the Model Context Protocol, allowing seamless interaction with Jira's API features including issue management, project administration, and user management.

Enables AI assistants to search, view, create, and update JIRA issues using natural language commands and JQL queries.

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

A Model Context Protocol server that provides access to JIRA issue data stored in CSV files, enabling AI assistants to query, filter, and analyze JIRA issues through standardized tools.

Enables AI assistants to interact with a self-hosted Jira clone for testing, supporting project and issue management, comments, and search via MCP tools.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.