What dependencies are required?
Python 3.8+ and pip. An active Confluence instance with a valid API token.
@MahithChigurupati
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"confluence": {
"command": "python",
"args": [
"confluence.py"
],
"cwd": "/path/to/Confluence-MCP-Server"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A FastMCP-based server that integrates with Confluence's REST API, enabling programmatic access to spaces, pages, and content search. It is for developers and teams needing automated Confluence interactions.
Install via git clone and pip, configure environment variables (CONFLUENCE_BASE_URL, USERNAME, API_TOKEN), then run python confluence.py. The server exposes methods like list_spaces, get_page_content, search_content, and list_pages_in_space.
Python 3.8+ and pip. An active Confluence instance with a valid API token.
Set CONFLUENCE_BASE_URL, USERNAME, and API_TOKEN in a .env file. Generate the token from the Atlassian API Tokens page.
It runs as a command-line MCP server using FastMCP, started with `python confluence.py`.
401 invalid token, 403 insufficient permissions, 404 resource not found, 429 rate limit exceeded.
Data remains in the Confluence instance; the server only queries via REST API.
Memlord is a remote MCP server available at https://app.memlord.com.

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