"Information about Jira Integration" matching MCP servers:

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.

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.

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

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

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.

MCP server for fetching Jira issue data via the Jira API.

This MCP server enables interaction with Atlassian products (Jira and Confluence), with additional tools for uploading attachments, embedding images, and commenting with images. It supports both Cloud and Server/Data Center deployments.

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.

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.

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.

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.

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

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

MCP server for IG's REST Trading API and Lightstreamer streaming API. Provides tools for accounts, markets, positions, orders, watchlists, sentiment, OTC trades, and streaming price/account/trade/chart data.

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

Enables AI agents to interact with Jira and GitHub through MCP tools, including searching, creating, commenting on, and transitioning Jira issues and listing pull requests, summarizing diffs, creating issues, and commenting on GitHub.

Enables AI agents to manage Jira projects and issues using natural language, including creating, updating, searching issues, managing sprints, and more via the Jira API.

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

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.

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.

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

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.

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 AI agents to manage Jira Cloud projects with full CRUD operations, bulk actions, sprint and release management, and issue linking using natural language.

A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.

Enables access to Xray Cloud test management on Jira Cloud through its REST v2 and GraphQL APIs, with configurable read/write toolsets, single-tool selection, and read-only or per-request credential modes.

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.

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

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.

A read-only MCP server that securely serves Jira (Server/Data Center) data to Claude Code without exposing the personal access token, with optional GitLab integration.

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.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

A server implementation that enables LLMs to programmatically manage tasks in Todo.txt files using the Model Context Protocol (MCP), supporting operations like adding, completing, deleting, listing, searching, and filtering tasks.

Enables managing SAP Cloud Integration iFlows, packages, configurations, deployments, and runtime artifacts via natural language through the OData API.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.