"Using Jira MCP to comment on subtasks, read descriptions, and create a test plan" matching MCP servers:

Enables AI clients to search Xiaohongshu notes by brand and category, batch extract comments, and perform keyword/sentiment/heat analysis, with results exported as Excel and JSON reports.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

A read-only MCP server for Amazon Redshift that leverages column comments for guided data discovery, with slash commands for profiling, exploration, and lineage.

Cross-platform MCP server providing Claude Code-style plan mode via four tools (enter_plan_mode, get_plan_mode_standards, todo_write, exit_plan_mode) with soft guidance through SKILL.md.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

MCP server bridging product ideas to prioritized roadmaps + spec drafts. Hands directly off to mk-spec-master. (AI 規劃大師)

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Enables work item management in DevOps Plan systems, allowing users to create, retrieve, filter, and delete work items, as well as manage applications, projects, components, and work item types through natural language.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

MCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.

Enables read-only access to a single Gmail mailbox, listing emails within a date range and retrieving full headers and body text of individual emails, with deep-link jump URLs for each result.

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.

An automated testing MCP server that converts test cases into a fixed JSON format, runs them case-by-case, and provides a visual report with review support for cases that cannot be automatically judged.

MCP server for Jira Cloud enabling issue tracking, comments, transitions, and attachments management through natural language.