"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.

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

An MCP server that uses Google Gemini AI to analyze requirements, create project plans, review code quality, and provide execution analysis feedback for software development projects.

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)

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.

A read-only MCP server for Hyperliquid that provides public market data (prices, order books, funding) and any wallet's positions, orders, and fills via MCP tools, without requiring a private key.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

MCP server for Korean government power/energy statutory plans. Enables AI agents to search and retrieve public power plan documents.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

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A Playwright-based tool that automates Xiaohongshu (Little Red Book) interactions, enabling users to login, search for notes, view content, and post intelligent comments through natural language commands.

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.

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.

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

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

An MCP server that gives AI coding agents the ability to analyze a Python repository's test health: coverage, flaky tests, and ML-based pull-request risk prediction.