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

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.

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 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.

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

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 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.

An MCP server for interacting with self-hosted Jira instances using Personal Access Token (PAT) authentication. It enables users to perform CRUD operations on issues, search with JQL, manage comments, and list projects through the Jira REST API.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.

Enables AI agents to manage Jira projects and issues using natural language, including creating, updating, searching issues, managing sprints, and more via the Jira API.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

Exposes Jira Cloud issue, project, board, sprint, search, comment, worklog, link, version, attachment and property operations as MCP tools, backed directly by the Jira Cloud REST API v3 and Agile API 1.0. Authenticates with an email and API token, and lets destructive delete and project-management tools be enabled only on explicit opt-in.

MCP server for fetching Jira issue data via the Jira API.

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

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

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

MCP server for JIRA integration enabling issue management, search, comments, and linking via natural language.