How do I configure the extension?
Open the Command Palette (`Cmd+Shift+P` / `Ctrl+Shift+P`), select “Confluence Wiki MCP Server: Configuration”, enter your Confluence host URL, username, and password, then click “Save Configuration”.
Confluence Wiki MCP Server Extension
@MCP-Mirror
Basic information
About Confluence Wiki MCP Server Extension
Mirror of
Confluence Wiki MCP Server Extension config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryConfluence Wiki MCP Server Extension tools
Tool 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.
Overview
What is Confluence Wiki MCP Server Extension?
This is a VSCode/Cursor extension that provides an MCP (Model Context Protocol) server for integrating with Confluence Wiki. It allows users to configure a secure connection to a Confluence instance, fetch wiki content, and convert it to Markdown for use by AI models in Cursor.
How to use Confluence Wiki MCP Server Extension?
Open the Command Palette and run “Confluence Wiki MCP Server: Configuration” to enter your Confluence host URL, username, and password. Credentials are saved in an encrypted file. Then in Cursor’s MCP settings, add a new MCP server with the name “Wiki”, type “Command”, and the command path shown on the configuration page. In a chat with an AI model, include a Confluence Wiki URL in your prompt; the tool will fetch, convert to Markdown, and pass the content to the AI.
Key features of Confluence Wiki MCP Server Extension
- Integrates with Confluence Wiki via an MCP Server
- Easy configuration interface with secure credential storage
- Converts Wiki content to Markdown format
Use cases of Confluence Wiki MCP Server Extension
- Summarizing a Confluence Wiki page using an AI model in Cursor
- Fetching Confluence content to answer questions in a Cursor chat
- Extracting and reformatting wiki documentation for AI-assisted editing
Frequently asked questions
How are my credentials stored?
Credentials are stored securely in an encrypted file and are never exposed in VSCode settings.
What editors does this extension support?
The extension is designed for VSCode and Cursor, with specific setup instructions provided for Cursor’s MCP configuration.
What command should I use when adding the MCP server in Cursor?
The command is the path shown on the extension’s configuration page after you save your credentials. It is not a fixed command.
What format does the tool return content in?
The extension fetches Wiki content and converts it to Markdown format before providing it to the AI model.
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