#jira

DevSpeak bridges the gap between product and engineering. Powered by Gemini AI, it instantly translates ambiguous stakeholder requirements into structured technical specs, Jira tickets, and API designs tailored to your specific tech stack and audience level.

Agent-to-Atlassian MCP server for Jira & Confluence. Save credentials once, work from anywhere. Pre-configured connections with --register, read-only by default, compact TSV output (30-60% fewer tokens than JSON), error enrichment with field suggestions and quirk auto-fixes. No Docker required — pip install and go.

A production-grade MCP server that gives Claude direct, structured access to Jira Cloud, Salesforce (Tooling + Metadata APIs), and n8n workflows. Built for autonomous Salesforce configuration — reads Jira stories, interprets requirements with Claude AI, and deploys metadata (custom fields, validation rules) directly into Salesforce. Reduces Salesforce field configuration from 20 minutes to under 60 seconds.

Monte-Carlo-Simulation Forecasting and various statistical methods to assess the stability of the flow and diagnose flow issues. For further details, head over to Github.

AI-powered Jira CLI and MCP server for humans and agents to manage issues, sprints, boards with interactive wizards, multi-provider AI (OpenAI/Gemini/Anthropic), and a 14-tool MCP server for AI assistants

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Assets (beta): https://www.cdata.com/download/download.aspx?sku=KNZK-V&type=beta

A comprehensive, production-ready Model Context Protocol (MCP) server for seamless Jira Cloud integration. This enhanced version provides advanced features, robust error handling, and extensive tooling for AI agents, automation systems, and custom applications.

MCP server for using the Jira Cloud API

Homebrew tap for jira-cli-mcp - MCP server that wraps jira-cli for AI assistants

A simple protoype of a MCP server for Jira

MCP Server to fetch the information about issues in JIRA

Atlassian (Jira/Confluence) AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)

A high-performance, asynchronous Model Context Protocol (MCP) server that integrates with JIRA using stdio transport

MCP (Model Context Protocol) server for JIRA integration

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration in development environments.

SpaceBridge-MCP is a Model Context Protocol (MCP) server designed to integrate AI development tools (like Claude code, Windsurf, Cursor) with the SpaceBridge issue aggregation platform. It allows developers to interact with their issue trackers directly from their coding environment via their AI assistant.

MCP Atlassian Server (by phuc-nt) is a Model Context Protocol (MCP) server that connects AI agents like Cline, Claude Desktop, or Cursor to Atlassian Jira and Confluence, enabling them to query data and perform actions through a standardized interface.

MCP server for self-hosted Jira

MCP Server - Jira & Git Integration

A Model Context Protocol (MCP) server that allows Claude and other AI assistants to create and manage Jira issues.

This read-only MCP Server allows you to connect to Jira data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at

A powerful Model Context Protocol (MCP) server implementation with integrations for GitLab, Jira, Confluence, YouTube, and more. This server provides AI-powered search capabilities and various utility tools for development workflows.

MCP server connecting AI assistants with Jira & Confluence for smart project management.

Jira MCP Server is a bridge between Jira and AI assistants that supports stdio and SSE to enable seamless, real-time interaction with Jira through the Model Context Protocol (MCP).

Ticketron (tix) is a CLI tool designed to quickly create JIRA issues based on brief user input, leveraging LLMs for detail generation and an MCP server for JIRA interaction.

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MCP Server handling Jira integrations

An MCP server compatible with Jira V2 and V3 api and custom fields

A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions.

A really simple MCP server for Jira, which uses docker for easy deployment.

Simple Practical MCP tools

A Streamlit-powered Jira assistant with MCP integration. Create, search, and manage Jira tickets through a clean tabbed interface using natural language commands or direct forms. Built with Python and MCP framework.

MCP server that integrates Confluence and Jira

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.

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MCP Server for handling Jira issues

A Model Context Protocol (MCP) server for Atlassian Jira integration, forked from boilerplate-mcp-server

MCP server for managing Tempo worklogs in Jira

the mcp server with jira integrates

MCP server to provide Jira Tickets information to AI coding agents like Cursor

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Mcp server in typescript to connect with Jira Analyze the issues

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JIRA MCP Server Implementation in Python

JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows

MCP server that allows interaction with Jira using natural language

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MCP server for Atlassian tools (Confluence, Jira)