"How to create tasks or issues in Jira" matching MCP servers:

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

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

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Enables MCP clients to read and create Jira issues against Jira Cloud or Data Center through a self-hosted FastMCP server with secure authentication and configurable fields.

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.

Enables AI coding agents to read Microsoft Planner and To Do tasks across multiple M365 tenants with proper authentication, and supports optional write operations limited to tasks the agent created.

Enables AI assistants to read and manage task lists and tasks through Google's official API, with search, digests, pagination, scoped OAuth, and optional read-only or write access.

Enables Claude to read, create, update, and complete tasks across lists, including grouped context for overdue, upcoming, and undated items.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

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

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Enables managing Obsidian Kanban boards and their task notes through the Local REST API, supporting operations like creating, moving, updating tasks and subtasks, and auditing board consistency.

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 coding agents to read Jira Cloud issues, search via JQL, and retrieve comments, attachments, and change history through a lightweight, context-efficient MCP toolset.

Enables coding agents to turn Jira Cloud tickets into ready-to-build briefs, verify local branches against acceptance criteria, and prepare QA handoffs, with optional previewed and audited write-back.

Minimal MCP server for Jira with configurable tools to reduce token usage, starting from ~150 tokens for basic issue retrieval.

This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.