mcp-server-atlassian-confluence and mcp-atlassian-server

Maintenance 10/25
Adoption 8/25
Maturity 10/25
Community 19/25
Maintenance 2/25
Adoption 8/25
Maturity 18/25
Community 18/25
Stars: 50
Forks: 21
Downloads:
Commits (30d): 0
Language: TypeScript
License:
Stars: 51
Forks: 14
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No License
Stale 6m

About mcp-server-atlassian-confluence

aashari/mcp-server-atlassian-confluence

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.

Supports token-optimized TOON output format (reducing API response sizes by 30-60% compared to JSON) and JMESPath filtering for selective field extraction. Implements five generic HTTP tools (`conf_get`, `conf_post`, `conf_put`, `conf_patch`, `conf_delete`) providing direct access to the Confluence v2 API, enabling AI assistants to create/update pages and comments alongside read operations. Integrates with Claude Desktop, Cursor AI, and any MCP-compatible assistant via stdio transport, with flexible credential management through environment variables, `.env` files, or `~/.mcp/configs.json`.

About mcp-atlassian-server

phuc-nt/mcp-atlassian-server

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

Exposes 48 Jira and Confluence operations through standardized MCP resources (read-only) and tools (mutations), supporting advanced workflows like sprint management, version history, and dashboard automation. Built as a Node.js MCP server compatible with Cline, Claude Desktop, and Cursor, it authenticates via Atlassian API tokens and communicates through the Model Context Protocol. The architecture separates read operations (resources) from write operations (tools) for clear permission boundaries and integrates directly with Jira API v3 and Confluence API v2.

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