"Tools for Creating Pull Requests and Searching 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.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

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.

Enables AI agents to interact with Jira and GitHub through MCP tools, including searching, creating, commenting on, and transitioning Jira issues and listing pull requests, summarizing diffs, creating issues, and commenting on GitHub.

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.

Connects MCP clients to Jira Server / Data Center through REST API v2, letting users search, create, update, comment on, transition, link, and log work on issues in natural language. Read-only tools are enabled by default, while write and delete capabilities require explicit CLI flags.

A local MCP server for safely managing personal Jira Cloud issues through ACLI, reusing an existing OAuth session without storing credentials. It enables listing, searching, and reading assigned issues, ranking potential duplicates, and making confirmed updates like comments, transitions, and field changes.

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.

Enables local MCP-based interaction with Jira Cloud, offering tools for issues, comments, transitions, worklogs, attachments, and user lookups while addressing gaps like attachment downloads, mention notifications, and multi-step status transitions.

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 search, read, create, and update Jira Server/Data Center issues, comments, and attachments, and to move issues through workflow transitions using Personal Access Token authentication. It also supports file uploads and downloads from allowlisted local paths, plus paginated search and issue-detail retrieval including links and attachment metadata.

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.