"Information about MCP for Jira" matching MCP servers:

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

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

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

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

Provides Jira Cloud integration for AI agents, enabling them to search issues with JQL, retrieve detailed issue information, and create new tickets. It supports multiple Jira configurations and provides tools for managing attachments and comments through natural language.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

A Model Context Protocol server that retrieves detailed geographic information about IP addresses using the ipinfo.io API, helping determine user location and network details.

Enables logging time entries to Jira Cloud issues, including adding worklogs, listing existing entries, and verifying credentials.

Provides AI assistants with live information about who is currently in space and the location of the ISS, using the free Open Notify API.

Enables coding agents to read Jira Cloud issues, search via JQL, and retrieve comments, attachments, and change history through a lightweight, context-efficient MCP toolset.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables AI assistants to search and retrieve transcripts from the Entra.Chat podcast about Microsoft Entra ID, with timestamped YouTube links and guest information.

Local MCP helpers for Jira Data Center advanced ops used from Cursor. It enables reading Tempo Structure boards via Structure REST API.