"Information about Jira Integration" matching MCP servers:

MCP to Connect JIRA by NodeJs

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

Enables AI applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.

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 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.

Enables enterprise-level integration with Jira's REST API for AI assistants to perform advanced project management, issue tracking, analytics, and strategic planning tasks. Supports multiple Jira instances with thread-safe concurrent access, workflow management, and comprehensive project structure organization.

Enables Jira integration with dynamic configuration, time logging, task creation, issue updates, and bulk imports through natural language.

Enables AI assistants to manage Jira Cloud instances, including creating and updating issues, managing sprints and projects, adding comments, tracking worklogs, and searching with presets.

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

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

MCP server that lets AI validate and create sales funnels (pipelines, stages, custom fields) in Kommo CRM, supporting multiple client accounts with explicit confirmation before writing.

Model Context Protocol server that allows AI assistants to interact with Jira, supporting operations like creating tickets and fetching project information directly from the cursor.

An MCP server that connects any two systems so an agent can explore both, map between them, and run real data transfers — then shows its working in a run folder you can audit afterwards.

Enables voice-controlled Instagram account management from the Mac notch, including reading insights, comments, DMs, and publishing photos or carousels via natural language, with scheduled publishing and secure photo handling.

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.

Lets AI agents work with self-hosted Jira Server/Data Center 7-10 using a plain username + password, no API tokens. 42 tools for issues, JQL search, transitions, comments, worklogs and sprints.

A Model Context Protocol server that enables AI assistants like Claude to interact with Jira, allowing for project management tasks such as listing projects, searching issues, creating tickets, and managing sprints through natural language queries.

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.

A TypeScript-based server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.

Enables interaction with Jira through OAuth 2.0 to create and manage issues directly from MCP-compatible clients. It supports secure authentication and local token caching to facilitate automated task management within Jira projects.

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.

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.

Enables users to fetch and search Jira tickets, comments, and attachments directly within Claude Code. It features JQL support and automatically exports linked Figma designs to provide comprehensive project context.

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.

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.

A server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.

Enables natural language interactions with Jira for creating issues, managing boards, searching tickets, and handling project operations. Supports conversational AI workflows with smart field detection and multi-turn conversations.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables AI systems to interact with JIRA through natural language, allowing users to retrieve issue details, create new tickets, search using JQL, and access project information.

Integrates with Jira REST API to create tickets with customizable fields and retrieve ticket information by key, with Dockerized deployment support.

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.

A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.

A Model Context Protocol server that enables AI tools to interact with TabNews, providing capabilities to fetch content, comments, analytics, and RSS feeds through natural language.

Connects with Google Calendar API to fetch calendar events for specific dates through natural language commands in AI-driven editors like Cursor, enabling real-time calendar data access within your coding environment.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

This MCP server implementation allows users to manage and expose actions as tools from their Integration App workspace through the Model Context Protocol.

Enables ChatGPT, Claude, Gemini, Cursor, and other MCP clients to create, edit, and validate FET timetable documents, build them from natural-language prose or teacher assignment lists, receive ranked constraint suggestions, and run the FET solver to generate timetables with failure diagnosis and export. Exposes the full FET 7.12 constraint catalog through a small schema-driven tool set plus job and workspace management.

Enables seamless Jira integration through browser-based OAuth authentication, providing tools for issue management, JQL search, and project access without manual API token configuration.

An integration server that allows Claude Desktop to communicate with Make (formerly Integromat) automation platform through the Model Context Protocol, enabling scenario management and execution via natural language.