"A tool for reading Jira ticket content" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

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.

A plugin-oriented Jira capability kernel for AI models, providing 24+ tools for Jira operations including issue search, comments, transitions, and project analysis via a dispatcher and HTTP service.

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

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

A Model Context Protocol (MCP) server that provides tools for interacting with Jira. Enables Cursor and other MCP clients to fetch tickets, manage linked tickets, and update ticket status.

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

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

Transforms free-text feature requests into well-formed tickets for Jira, GitHub, GitLab, and Linear, handling clarification, formatting, and duplicate detection while leaving the actual submission to the caller.

Enables running and learning from a production-shaped MCP server that exposes ticket-desk operations, server administration, timers, events, and schema-driven queries across stdio, SSE, and Streamable HTTP with configurable auth, rate limiting, and observability.

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.

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

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

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

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

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.

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.

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.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

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.

MCP server enabling AI assistants to interact with Jira, scoped to a single project. Supports stdio and HTTP transports for issue management operations.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

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.