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

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Automates parking ticket detection, evidence gathering, and dispute preparation across multiple US cities.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Enables shared reading between humans and AI assistants, including book import, chunked reading, margin annotations, reading progress tracking, and note exchange.

Enables AI agents and humans to share one SQLite-backed kanban of tickets, exposing 10 tools to list workspaces, read, create, update and delete tickets, and manage comment threads. All tool output is plain text rather than JSON, so agents can read tickets cheaply, act on them, and reply with self-reported identity and model.

An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

Enables AI agents to generate ticket IDs with QR codes, send tickets via email/SMS/WhatsApp, and retrieve event details through the Ticket Generator API.

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

A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.

Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.

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

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.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

Multi-platform content distribution — draft posts, repurpose content, generate carousels, schedule, analyze performance, create threads. 7 MCP tools.

MCP server for publishing posts and retrieving metrics on social platforms like Telegram, with planned support for YouTube and Instagram.

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

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

Enables support agents to look up customer account details and billing or incident information through two read-only MCP tools for triage workflows.

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

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 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.

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.

Enables AI agents to read Jira Cloud issues and attachments such as screenshots and video frames, search issues, add comments, and create issues using per-user OAuth, while preventing edits or deletions.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.