{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/2"}],"enrichment":{"capability":"An MCP server that exposes Jira and Confluence APIs to AI language models, enabling LLM-driven queries, issue management, and documentation workflows across Atlassian Cloud and Server/Data Center deployments.","skillfed_tags":["mcp-server","atlassian-integration","llm-automation"],"use_cases":["Ask an AI assistant to search and retrieve Jira issues by JQL query, then summarize or analyze them without manual dashboard navigation.","Automate Confluence documentation updates by having an LLM generate markdown content and push it directly to pages via the MCP server.","Create and transition Jira tickets from natural-language descriptions\u2014e.g., 'create a bug for the login issue and assign it to the backend team.'","Build AI-powered onboarding or knowledge-base workflows that search Confluence for relevant docs and surface them in conversation context.","Integrate Atlassian operations into multi-step LLM workflows, such as fetching issue details, generating summaries, and posting results as Confluence comments."],"what_it_does":"mcp-atlassian is a Model Context Protocol server that bridges Atlassian products (Jira and Confluence) with AI language models. It allows LLMs like Claude to query, create, and update Jira issues and Confluence pages through a standardized MCP interface, supporting both Atlassian Cloud and on-premises Server/Data Center deployments. The server exposes tools for searching with JQL (Jira Query Language) and CQL (Confluence Query Language), retrieving and modifying issues and pages, transitioning workflows, and adding comments.\n\nThe package is designed to integrate with AI development environments (Claude Desktop, Cursor) and Autohand Code, enabling natural-language workflows like \"find issues assigned to me\" or \"search Confluence for onboarding docs.\" It handles authentication via API tokens or Personal Access Tokens, manages HTTP transport over SSE or streamable-http, and includes markdown-to-Confluence conversion for seamless documentation updates. With 27 runtime dependencies including uvicorn, httpx, and the atlassian-python-api client, it provides a production-ready bridge for AI-driven Atlassian automation.","worth_installing":"Yes, if you use Atlassian products (Jira or Confluence) and want to integrate them with AI assistants or LLM workflows. The package is actively maintained, has low install friction, and offers broad tool coverage. However, verify the actual license terms before use in proprietary contexts, since the metadata does not record the license formally. Not relevant if you do not use Atlassian or do not need LLM-driven automation."},"id":"mcp-atlassian","links":{"html":"https://skillfed.io/packages/mcp-atlassian","md":"https://skillfed.io/packages/mcp-atlassian.md","pypi":"https://pypi.org/project/mcp-atlassian/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-18","license_spdx":null,"license_treatment":"unclear","name":"mcp-atlassian","python_support":"supports_current","summary":"The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:"},"popularity":{"monthly_downloads":2000505,"position":3373,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.23.0"}