"A server for searching Jira tickets and adding comments" matching MCP servers:

Enables adding inline, range-anchored comments to specific text fragments in Google Docs, overcoming the limitation that Google APIs cannot create anchored comments.

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.

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.

MCP server that lets AI assistants browse and buy ELC Conference 2026 tickets. Enables natural conversation about conference details, ticket availability, and purchasing.

Enables Claude AI and other MCP clients to interact with Jira Server/Data Center through tools like listing issues, logging work, and updating issues, requiring user confirmation for write operations.

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.

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

Connects Jira with Claude, enabling users to search issues, view issue details, update issues, add comments, and retrieve project information through natural language commands.

An MCP server that enables AI assistants to interact with JIRA, allowing for querying issue details, creating and updating work items, and managing attachments through a standardized interface.

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.

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.

A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.

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.

A simple MCP server that provides access to Jira issues from Cursor AI, allowing users to reference and query Jira tickets directly in the chat panel.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

A production-ready server that automatically exposes your entire Jira instance through the Model Context Protocol, allowing seamless interaction with Jira's API features including issue management, project administration, and user management.

Enables AI clients to manage Jira Cloud issues, comments, attachments, and transitions through natural language.

Enables AI assistants to search, view, create, and update JIRA issues using natural language commands and JQL queries.