#atlas

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.

Confluence MCP server for Cloud/Server/Data Center. Supports whoami, search, raw CQL, create and update page.

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

A Go implementation of the Model Context Protocol (MCP) server for Atlassian Confluence Data Center

A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.

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)

MCP Space is a no-code AI tool builder that simplifies creating and managing AI models using the Model Context Protocol. Join us on GitHub to explore and contribute to this innovative platform! 🐙🌟

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.

for ATLAS MCP servers

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.

MCP Server handling Jira integrations

A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

Mirror of

MCP Server that runs on Docker with connect to Atlassian.

MCP server that integrates Confluence and Jira

Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.

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.

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.

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

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

MCP server for Atlassian tools (Confluence, Jira)