"Guides and Tools for Managing Jira" matching MCP servers:

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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

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

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

A lightweight MCP server for self-hosted Jira Server, exposing REST API v2 tools for search, issue creation/update, transitions, comments, and more to AI clients via MCP protocol.

Enables read-only retrieval of Jira Cloud issues, JQL search, and project issue listing through MCP tools.

Enables AI clients to interact with a mock JIRA-shaped issue tracker through MCP tools for managing projects, issues, and users.

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.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

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 async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

Enables AI assistants to manage Jira issues with full CRUD, transitions, linking, commenting, and file attachments via the Jira REST API v3.

Gives local coding agents safe, read-only access to an existing Jira instance through MCP over stdio, keeping Jira credentials out of the LLM. It exposes tools for reading issues, comments, linked items, JQL search results, assigned open issues, and project metadata.

Enables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.

MCP server that connects to Jira Data Center, enabling issue search, retrieval, creation, comments, workflow transitions, project listing, arbitrary JQL, and turning meeting notes into structured Jira stories, tasks, and bugs.

Stdio-based MCP server exposing Jira tools for searching, creating, getting, commenting on, assigning, and transitioning issues, as well as listing projects, with authentication via token or basic auth.