What are the prerequisites for using MCP Atlassian?
You need Node.js v16 or higher, npm or yarn, an Atlassian account with an API token, and optionally Docker for containerized deployment.
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Basic information
MCP server for Atlassian (Confluence & Jira)
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Atlassian is a Model Context Protocol server that provides comprehensive tools for AI agents to interact with Atlassian products — Confluence and Jira — through a standardized interface. It is designed for developers and teams who want to enable AI-driven automation, search, and content management within their Atlassian environment.
Install via npm (npm install) or Docker (build and run with Makefile). Create a .env file with your Atlassian host, email, and API token. Start the server using npm start or make start, then configure your MCP client to connect to the streamable HTTP endpoint (e.g., http://localhost:3007/mcp).
You need Node.js v16 or higher, npm or yarn, an Atlassian account with an API token, and optionally Docker for containerized deployment.
Provide your Atlassian host, email, and API token in a `.env` file (`ATLASSIAN_HOST`, `ATLASSIAN_EMAIL`, `ATLASSIAN_API_TOKEN`). The server supports basic auth, with OAuth 2.0 and PAT tokens planned.
Yes. Set `READ_ONLY_MODE` to disable all write operations for safe exploration. You can also use tool whitelisting via the `ENABLED_TOOLS` environment variable.
The server primarily uses the Confluence v2 REST API for spaces, pages, comments, and labels. It falls back to the v1 API for content search (CQL) because v1 offers more powerful search capabilities.
Yes. SSL verification bypass is configurable, allowing you to connect to self-hosted or on-premises instances with custom certificates.

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