"Managing and searching Jira ticket creation" matching MCP servers:

Enables users to plan and create applications on a Coolify instance from container images, Git repositories, inline Dockerfiles, and repository-based Docker Compose, while validating ownership and returning deployment webhooks.

It allows AI agents to perform hybrid searches across historical issue tracker data (JIRA and MantisBT) to discover past problems and their corresponding resolutions. This capability helps automate the discovery of suitable precedents for new support inquiries.

Enables management of a local-first, per-repo ticket board with git/PR pipeline using markdown files and MCP tools for ticket operations.

Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.

Enables fixed-owner authoring and auditing of Bethesda game content, covering Creation Kit tools, TES records, Papyrus scripts, assets and archives, BMKB knowledge, authenticated Vortex operations, runtime verification, packaging, and release readiness. All target-changing operations require explicit confirmation, context snapshots, archive receipts, and authorization notes, while read-only knowledge and audit targets remain available for earlier Bethesda titles and Fallout 76.

Exposes a ticket classification tool that categorizes support tickets by severity, category, sentiment, and summary via MCP, using the Anthropic API for classification and packaged as a Claude Desktop extension.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables natural language querying and semantic search over a bilingual customer support ticket dataset using SQL and embeddings.

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 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.

A local MCP server for governed support-ticket triage that reads synthetic tickets and knowledge articles, prepares evidence-backed recommendations, and records local audit events.

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.

Enables Claude to read Jira CSV/JSON backlog exports, audit tickets for test readiness, and generate validated Gherkin acceptance scenarios tied to ticket criteria. It also tracks acceptance-criteria coverage and flags ambiguities or missing information for Product Owner follow-up.

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 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 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.

Human-to-AI code review bridge. Annotate UI elements in the browser with review comments, and AI agents read the feedback via MCP to fix code automatically — with full element context (CSS selector, styles, DOM path, accessibility info). 10 MCP tools, framework-agnostic Web Component, zero-config install via uvx.

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 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.

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

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.

MCP server that connects to Jira Data Center, enabling issue search, retrieval, creation, comments, workflow transitions, project listing, arbitrary JQL, and turning meeting notes into structured Jira stories, tasks, and bugs.

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.

A Model Context Protocol server that enables integration with JIRA, allowing users to interact with JIRA tasks and issues through Claude AI assistant.