"Using Jira MCP API in Python" matching MCP servers:

An MCP server that talks directly to Jira Cloud REST API v3 using static credentials and exposes tools for discovering customfield IDs, resolving account IDs, and updating issue fields including ADF JSON.

A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

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

Enables logging time entries to Jira Cloud issues, including adding worklogs, listing existing entries, and verifying credentials.

Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.

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.

Local MCP helpers for Jira Data Center advanced ops used from Cursor. It enables reading Tempo Structure boards via Structure REST API.

Enables an AI agent to manage Jira Stories in a self-hosted Jira instance via the Jira REST API v2, including CRUD operations, workflow transitions, and burndown data retrieval.

MCP server for Jira Cloud that lets AI agents search, read, and write Jira issues using your own Atlassian account and API token, with write operations gated behind explicit opt-in.

A lightweight Jira Cloud MCP server for Claude Code that provides high-value tools for reading and writing Jira issues with human-readable responses.

An MCP server for interacting with Atlassian Jira, enabling issue management, attachments, and other operations via natural language.

MCP server for Jira integration with stdio transport. Enables reading, writing, and managing Jira issues and projects directly from Claude Desktop. Supports issue creation, updates, comments, JQL search, and project management.

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.

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

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

An MCP server that provides tools to interact with JIRA for sprint management, issue tracking, and attachment handling.

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.