"Information about Jira" matching MCP servers:

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

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.

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.

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.

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 logging and checking Jira Cloud worklogs from AI agents such as Claude Code, Claude Desktop, Cursor, or any MCP client that supports stdio.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Local-first FinOps MCP server. Ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing. Credentials never leave your machine.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Minimal MCP server for Jira with configurable tools to reduce token usage, starting from ~150 tokens for basic issue retrieval.

This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables VS Code Copilot to interact with your Jira instance—Cloud, Server, or Data Center—through natural language for issue search, creation, updates, comments, transitions, assignments, project listing, and user profile lookup.

Enables AI assistants to interact with self-hosted Jira instances for issue management, search, comments, and workflow transitions.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

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.

Enables an AI assistant to administer a Jira Cloud site with 78 purpose-built tools for behind-the-scenes admin work like custom fields, permission schemes, workflows, screens, issue-type schemes, groups, project roles, saved filters, and bulk operations.

Provides sprint and developer analytics from Jira, answering questions about sprint content, developer performance, and refinement readiness. Can publish reports to Confluence for easy sharing.

Integrates with Jira Cloud to enable comprehensive issue management, project tracking, and team collaboration through natural language, including creating/updating tickets, searching with JQL, managing workflows, and adding comments.

A Model Context Protocol server for Atlassian Jira and Confluence that bypasses corporate proxies and self-signed certificates, enabling read/write operations on issues, projects, pages, and spaces using Personal Access Tokens.

Enables querying and managing Jira issues and Confluence pages through their Cloud REST APIs, preserving markdown formatting via direct ADF conversion.

A Model Context Protocol server that enables interaction with Jira's REST API using natural language commands, allowing users to manage Jira projects, issues, comments, and workflows through Claude Desktop and other MCP clients.

Enables interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.

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 AI assistants to interact with Jira and Confluence via natural language, supporting 37 Jira tools and 16 Confluence tools.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.