"Information about Jira project management software" matching MCP servers:

Enables configuration of Jira Service Management Cloud via natural language, supporting request types, custom fields, forms, and more.

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.

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

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

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

MCP to Connect JIRA by NodeJs

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides software development planning tools to help users create implementation plans and manage todo items.

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

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

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

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

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 AI agents to interact with Jira Cloud and Confluence through natural language, performing JQL searches, issue management, and Confluence page creation.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Exposes employee leave-management operations (add employees, check balance, apply/cancel leave, view history) as MCP tools for AI clients like Claude Desktop to call directly.

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.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

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 AI assistants to interact with Jira Cloud and Server/Data Center deployments for issue management, project tracking, and workflow automation. Supports multiple authentication methods including API tokens, OAuth 2.0, and personal access tokens.

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

Enables interacting with Jira for issue search, retrieval, project listing, and project details through natural language queries via the MCP protocol.

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

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.