What are the runtime dependencies for Jira MCP Server?
Node.js 14 or higher and npm 6 or higher are required.
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基本信息
Mcp server in typescript to connect with Jira Analyze the issues
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The Jira MCP Server is a Model Context Protocol implementation that enables AI models to interact with Jira through a standardized interface, integrating with the full Jira REST API.
Install via npm install @modelcontextprotocol/server-jira, configure required environment variables (JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL) and optional ones (PORT, POOL_SIZE), then start the server with npm run dev (development) or npm start (production). The server exposes HTTP endpoints for fetching issue details, current sprint details, and workload analytics.
Node.js 14 or higher and npm 6 or higher are required.
Set the environment variables `JIRA_HOST` (your domain), `JIRA_API_TOKEN` (API token), and `JIRA_EMAIL` (email) before starting the server.
The server provides `GET /health` for health checks, `GET /api/v1/issues/:issueKey` for issue details, `GET /api/v1/sprint/current` for current sprint, and `GET /api/v1/analytics/workload` for workload analytics.
Yes, built-in rate limiting and request logging are included as core features.
Data is stored in Jira Cloud; the server interacts with Jira via its REST API and does not store any data locally.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
GitHub's official MCP Server
Yuque mcp server
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 tra
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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