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

Enables AI assistants to create projects, deploy files, container images, or Git repositories, attach domains, set write-only secrets, add Postgres, read logs, metrics, and failure summaries, and roll back.

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 AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.

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.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

Enables task management through natural language commands in English or Spanish. Supports creating, listing, updating, completing, and deleting tasks with local SQLite storage.

Enables headless Jira Cloud automation via MCP: create issues and subtasks, read and JQL-search issues, inspect agile boards and swimlanes, move issues through workflows, and add comments and attachments.

An MCP server that lets Claude manage Google Tasks, including listing, creating, updating, completing, moving, and deleting tasks and task lists. It supports both local and remote deployments and can be used with Claude Desktop or as a Cloudflare Worker.

A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.

A generic task manager (like Monday, Jira, Trello) with MCP as its only interface, enabling task and user management via natural language through Claude.

Enables control and interaction with Jira through the Jira Command Line interface, allowing users to manage Jira tasks and operations through natural language commands.

MCP server that connects AI assistants to your Jira site, supporting PAT or SSO authentication for search, read, create, update, and delete operations on issues.

Connects Jira with Claude, enabling users to search issues, view issue details, update issues, add comments, and retrieve project information through natural language commands.

Provides integration with Jira's REST API, allowing AI assistants to manage Jira issues programmatically.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Jira Cloud MCP server providing Jira-first tools for common workflows and full REST API coverage through a generic request tool.

Manages Atlassian Jira Cloud projects, issues, sprints, boards, worklogs, comments, and workflow transitions from MCP-compatible clients.

An MCP server for Jira Data Center that enables searching, analyzing, and managing Jira through its REST API, with permission policy, preview-before-change, audit trail, and reporting tools.

Enables pipeline-driven task management for AI coding agents, with stage-gated workflows, dependency tracking, artifact versioning, and multi-agent collaboration.

MCP server that connects MCP-compatible clients to Google Tasks, enabling reading, searching, creating, completing, updating, deleting, and moving tasks via 19 tools.

Task manager for AI agents with projects, priorities, and status tracking. Reads are free, writes require Veyra commit mode.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

Persistent memory and pattern learning for AI coding assistants via MCP.

Enables AI assistants to search, view, create, and update JIRA issues using natural language commands and JQL queries.

MCP server for Jira ticket context via REST API — read issues, search, post comments with @mentions.

A task management MCP server that provides tools to create, list, complete, and delete tasks using pluggable storage backends. It enables users to interact with their task lists through natural language using MCP-compatible clients like Claude Desktop.

Enables users to describe an LLM fine-tuning job once and receive VRAM/FLOPs-aware recommendations for the cheapest, fastest, or most balanced GPU options across a dozen cloud providers.

Enables AI agents to interact with Jira Cloud through the REST API, supporting project management, issue operations (create, read, update, delete), JQL search, task assignments, and status transitions.

A Model Context Protocol server that provides access to JIRA issue data stored in CSV files, enabling AI assistants to query, filter, and analyze JIRA issues through standardized tools.