How do I generate an Atlassian API Token?

Log into your Atlassian account at id.atlassian.com, navigate to the **Security** tab, and click on **API tokens**. Select 'Create and manage API tokens' to generate a new key for this integration.

Can the AI edit all spaces within my Confluence account?

The AI integration adheres strictly to the permissions of the user generating the API token. It can only read and modify the spaces that your specific Atlassian user account has authorization to access.

Does a published Confluence page support Markdown?

Yes, Confluence correctly processes standard formatting such as headings, lists, code blocks, and rich text when the AI agent generates and uploads content.

Confluence MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

Name: Confluence
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Confluence and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "confluence": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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IAMAccess control

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DLPData protection

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Confluence MCP Server

Connect your Atlassian Confluence workspace to your AI assistant. Easily query your organization's knowledge base, search through technical documentation, and seamlessly generate new formatted pages right from the conversational interface.

GitHub Copilot Agent mode brings Confluence data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Search Wiki Spaces — Quickly retrieve specific software architecture decisions, HR policies, or meeting notes without switching tabs.
Read Pages — Extract the complete text and markdown-structured content of existing wiki pages for quick summaries.
Create & Publish — Draft robust product requirements documents (PRDs) or meeting minutes using the AI, and publish them directly to your designated Confluence spaces.

The Confluence MCP Server exposes 8 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Confluence to VS Code Copilot via MCP

Follow these steps to integrate the Confluence MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Confluence

Ask Copilot: "Using Confluence, help me..." — 8 tools available

Why Use VS Code Copilot with the Confluence MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Confluence through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Confluence + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Confluence MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Confluence MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Confluence to VS Code Copilot via MCP:

add_page_comment

The body should be in storage format (HTML). Add a new comment to a Confluence page

create_page

Requires the space key, a title, and body content in Confluence storage format (HTML). The page is created at the root of the space. Create a new page in a Confluence space

get_page

Returns content body, space, version history, and metadata. Retrieve detailed information about a specific page

get_space_details

Returns metadata, description, homepage, and permissions overview. Retrieve detailed information about a specific space

list_page_comments

Returns inline and footer comments with author and content. Retrieve all comments for a specific Confluence page

list_pages

Optionally filter by space key. Supports pagination via start offset and limit. Retrieve a list of pages from Confluence

list_spaces

Retrieve a list of all spaces in Confluence

search_confluence

g. text ~ "project" AND type = "page"). Returns matching pages, blog posts, and comments. Search for content using Confluence Query Language (CQL)

Example Prompts for Confluence in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Confluence immediately.

"Search Confluence for documentation regarding our 'Q3 Migration Plan'."

"Create a new page in the 'Product' space summarizing our meeting notes from today."

"List all wiki pages currently under the space key 'HR'."

Troubleshooting Confluence MCP Server with VS Code Copilot

Common issues when connecting Confluence to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Confluence + VS Code Copilot FAQ

Common questions about integrating Confluence MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.