"A tool for reading Jira ticket content" matching MCP servers:

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

It allows AI agents to perform hybrid searches across historical issue tracker data (JIRA and MantisBT) to discover past problems and their corresponding resolutions. This capability helps automate the discovery of suitable precedents for new support inquiries.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.

Enables AI agents and humans to share one SQLite-backed kanban of tickets, exposing 10 tools to list workspaces, read, create, update and delete tickets, and manage comment threads. All tool output is plain text rather than JSON, so agents can read tickets cheaply, act on them, and reply with self-reported identity and model.

Enables management of a local-first, per-repo ticket board with git/PR pipeline using markdown files and MCP tools for ticket operations.

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

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

Transforms free-text feature requests into well-formed tickets for Jira, GitHub, GitLab, and Linear, handling clarification, formatting, and duplicate detection while leaving the actual submission to the caller.

Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.

A plugin-oriented Jira capability kernel for AI models, providing 24+ tools for Jira operations including issue search, comments, transitions, and project analysis via a dispatcher and HTTP service.

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.

A local MCP server for governed support-ticket triage that reads synthetic tickets and knowledge articles, prepares evidence-backed recommendations, and records local audit events.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

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

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.

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

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.

MCP to Connect JIRA by NodeJs

Self-hosted MCP server for Jira Cloud that mirrors the Atlassian Rovo MCP Server, enabling Jira issue management, JQL search, and workflow transitions via natural language.

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.

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

A local MCP server for Jira Server/Data Center that enables Claude and Codex to manage issues, comments, transitions, worklogs, and links through the Jira REST API v2 using Basic Auth.

An MCP server exposing the internal Ticket API to MCP clients, built with FastMCP's OpenAPI integration.

A one-click Jira integration for AI coding tools like Claude Desktop, Cursor, and VS Code, enabling create, read, update, move, comment, and search operations on Jira tickets directly from the assistant.

Enables Claude to interact with Jira through JQL (Jira Query Language) queries using the Model Control Protocol, allowing natural language access to Jira issue tracking and project management.

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

Exposes Jira task management (list, create with two-step confirmation, start) to AI agents while keeping credentials hidden, and deliberately does not handle git 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.