"A server for performing natural language queries in Jira" matching MCP servers:

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.

A Model Context Protocol server that enables AI assistants like Claude to interact with Jira, allowing for project management tasks such as listing projects, searching issues, creating tickets, and managing sprints through natural language queries.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

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 TypeScript-based server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.

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

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

MCP to Connect JIRA by NodeJs

A Model Context Protocol server that enables interaction with Jira's REST API using natural language commands, allowing users to manage Jira projects, issues, comments, and workflows through Claude Desktop and other MCP clients.

Enables interaction with Jira through OAuth 2.0 to create and manage issues directly from MCP-compatible clients. It supports secure authentication and local token caching to facilitate automated task management within Jira projects.

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 AI applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Provides Jira Cloud integration for AI agents, enabling them to search issues with JQL, retrieve detailed issue information, and create new tickets. It supports multiple Jira configurations and provides tools for managing attachments and comments through natural language.

Enables users to fetch and search Jira tickets, comments, and attachments directly within Claude Code. It features JQL support and automatically exports linked Figma designs to provide comprehensive project context.

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 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.

Enables enterprise-level integration with Jira's REST API for AI assistants to perform advanced project management, issue tracking, analytics, and strategic planning tasks. Supports multiple Jira instances with thread-safe concurrent access, workflow management, and comprehensive project structure organization.

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.

Model Context Protocol server that allows AI assistants to interact with Jira, supporting operations like creating tickets and fetching project information directly from the cursor.