"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.

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 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.

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.

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.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

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

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

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.

A read-only MCP server that provides information about Mistral's Le Chat AI, including models, pricing, FAQ, and official links, without requiring API keys.

MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.

MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.

Exposes canonical knowledge about DeepSeek FR (models, pricing, FAQ, official links) to MCP-compatible AI clients, enabling querying of site information without API keys.

Enables coding agents to turn Jira Cloud tickets into ready-to-build briefs, verify local branches against acceptance criteria, and prepare QA handoffs, with optional previewed and audited write-back.

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

Provides access to Aceternity UI component library documentation, enabling AI assistants to browse, search, and retrieve detailed information about components.

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.

Provides AI models with full access to Jira Cloud functionality, enabling issue management, project tracking, sprint planning, and agile board operations through the Jira REST API v3 and Agile API 1.0.

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 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.

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

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.