Atlassian Confluence MCP Server
@aashari
About Atlassian Confluence MCP Server
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.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-atlassian-confluence": {
"command": "npx",
"args": [
"-y",
"@aashari/mcp-server-atlassian-confluence",
"get",
"--path",
"/wiki/api/v2/spaces"
]
}
}
}Tools
5GET any Confluence API endpoint (read data)
POST to any endpoint (create resources)
PUT to any endpoint (replace resources)
PATCH to any endpoint (partial updates)
DELETE from any endpoint (remove resources)
Overview
What is Atlassian Confluence MCP Server?
A server that connects AI assistants (Claude, Cursor AI, and other MCP clients) directly to a Confluence knowledge base, enabling natural language queries to search, read, create, and update pages, spaces, comments, and blog posts.
How to use Atlassian Confluence MCP Server?
Install via npx (npx -y @aashari/mcp-server-atlassian-confluence) and set the required environment variables: ATLASSIAN_SITE_NAME, ATLASSIAN_USER_EMAIL, and ATLASSIAN_API_TOKEN. Configure the server in Claude Desktop’s config file (~/.claude/claude_desktop_config.json) or in another MCP‑compatible client. Alternatively, use the CLI commands (get, post, put, patch, delete) directly from the terminal.
Key features of Atlassian Confluence MCP Server
- Five generic tools (
conf_get,conf_post,conf_put,conf_patch,conf_delete) for any Confluence API endpoint - Optional JMESPath (
jq) filtering to extract only the needed fields and reduce token costs - TOON (Token‑Oriented Object Notation) output format, which uses 30–60% fewer tokens than JSON
- Automatic truncation of responses larger than ~40,000 characters, with a notice
- Supports all common Confluence API paths: spaces, pages, comments, blog posts, and search
Use cases of Atlassian Confluence MCP Server
- Ask AI about your documentation (e.g., “What’s our API authentication process?”)
- Search across all Confluence spaces using natural language or CQL queries
- Retrieve and display page content, labels, and child pages
- Create new pages and add comments to existing documents
- Update or delete pages, spaces, and comments via the API
FAQ from Atlassian Confluence MCP Server
How do I authenticate with Confluence?
Set the environment variables ATLASSIAN_SITE_NAME (your company’s subdomain), ATLASSIAN_USER_EMAIL, and ATLASSIAN_API_TOKEN. Generate an API token from your Atlassian account settings.
What tools are available?
The server provides five tools that mirror standard HTTP methods: conf_get, conf_post, conf_put, conf_patch, and conf_delete. Each accepts a path (the API endpoint), optional queryParams, a jq filter expression, and an outputFormat (TOON or JSON).
How can I reduce token costs?
By default responses are returned in the TOON format, which is more token‑efficient than JSON. You can further reduce costs by using the jq parameter to filter the response to only the fields you need.
What happens if a response
Frequently asked questions
How do I authenticate with Confluence?
Set the environment variables `ATLASSIAN_SITE_NAME` (your company’s subdomain), `ATLASSIAN_USER_EMAIL`, and `ATLASSIAN_API_TOKEN`. Generate an API token from your Atlassian account settings.
What tools are available?
The server provides five tools that mirror standard HTTP methods: `conf_get`, `conf_post`, `conf_put`, `conf_patch`, and `conf_delete`. Each accepts a `path` (the API endpoint), optional `queryParams`, a `jq` filter expression, and an `outputFormat` (TOON or JSON).
How can I reduce token costs?
By default responses are returned in the TOON format, which is more token‑efficient than JSON. You can further reduce costs by using the `jq` parameter to filter the response to only the fields you need.
Basic information
More Memory & Knowledge MCP servers
minutes
silversteinEvery meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.
Tempreon
TempreonPerson-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.
Solomd
zhitongblogA markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
Basic Memory
basicmachines-coAI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

ctxfile
ctxfileLocal-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
Comments