Hosted MCP Server for Atlassian Confluence

Set Up Your Atlassian Confluence Environment

Create Your Atlassian Confluence API Key

1. Access Atlassian Account: Log in to Atlassian Account .

2. Create API Token:

   • Select Create API token with scopes.

     

   • Give your API token a descriptive name (e.g., FlowHunt-Confluence-Integration).

   • Select an expiration date for the token (1 to 365 days).

   • Click Create.

   • Select Copy to clipboard and paste the token to a secure location, such as a password manager, for use in FlowHunt.

   

💡 Pro Tip: Store your API token securely and avoid sharing it publicly. Using environment variables for API token management is recommended for enhanced security.

Connect to FlowHunt Dashboard

1. Access FlowHunt: Log in to your FlowHunt.io dashboard .

2. Navigate to Integrations: Find the “Integrations” section in the left sidebar.

3. Select Atlassian Confluence: Click on the Atlassian Confluence integration option to begin the setup process.

   

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Configure the Atlassian Confluence Integration

Enter Connection Details

In the Atlassian Confluence integration setup page, provide the following information:

Deploy the Atlassian Confluence MCP Server

Add the MCP Server

1. Navigate to MCP Servers: Go to the “MCP Servers” tab in your FlowHunt dashboard.

2. Add New Server: Click “Add New MCP Server”.

3. Select Atlassian Confluence: Choose “Atlassian Confluence MCP Server” from the available options.

4. Enter API Details: Provide the API token and, if required, the API URL and username.

5. Configure Server Tools: Select the tools you want to enable for your MCP server.

   MCP INTEGRATION

   The following tools are available as part of the Atlassian Confluence MCP integration:

   search_pages

   Search Confluence pages using keywords, space keys, or other filters to locate specific content.

   get_page

   Retrieve detailed information about a specific Confluence page, including content and metadata, by providing the page ID.

   create_page

   Create new pages in a Confluence space with specified content, titles, and parent pages.

   update_page

   Modify existing Confluence pages by updating content, titles, or other attributes.

   

6. Finalize Setup: Click “Add MCP Server” to complete the configuration.

📝 Note: You can modify or add tools later based on your evolving automation needs.

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Connect MCP Server to Client

Configure the MCP Client

1. Access Connect Tab: Navigate to the “Connect” tab in your MCP Server configuration.
2. Choose Client: Select your preferred MCP client:
   • FlowHunt AI Agent (recommended)
   • Claude Desktop
   • Custom client applications
3. Apply Configuration: Use the provided JSON format:

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

Security Considerations

🔒 Important: Treat your MCP server URL as a password. It provides direct access to your Confluence data and server tools. Never share it publicly or commit it to version control.

4. Test the Connection: Verify functionality by running a test query, such as searching pages or retrieving page details.

Create AI-Powered Workflows

You have two powerful options for implementing your Atlassian Confluence automation:

Option A: Quick Start with Preconfigured Flow

Best for: Getting started quickly with proven automation patterns

1. Generate Flow: In your MCP Server configuration, click “Create Preconfigured Flow”.

2. Select Template: Choose “AI Agent with MCP” to create a ready-to-use workflow.

3. Customize Logic: Use FlowHunt’s visual flow builder to tailor the automation:

   • Set up page creation for meeting notes or reports.
   • Configure automatic content updates for documentation.
   • Implement page searches for knowledge base queries.
   • Create automated notifications for page changes.

   

4. Activate: Save and activate your flow to begin automated operations.

Option B: Custom Integration

Best for: Specific automation requirements or existing workflow enhancement

1. Create/Edit Flow: Open FlowHunt’s flow builder and start with a new or existing flow.
2. Add MCP Component: Drag the “MCP Server Component” onto your canvas.
3. Configure Connection: Paste your MCP client configuration:

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

4. Design Workflow: Create custom logic that leverages the MCP server tools:

   • Search pages for specific project documentation.
   • Update page content based on external triggers.
   • Create new pages for automated reporting.
   • Retrieve page details for AI-driven content analysis.

   

5. Deploy: Save your configuration and activate the flow.

List of Prompts

Here are practical examples demonstrating how to use the Confluence MCP Server with your AI agents. These prompts showcase real-world documentation and knowledge management scenarios:

Content Discovery

Search for all pages in the Engineering space that contain 'API documentation' and were updated in the last 30 days

Find all pages created by sarah@company.com in the Product space that have 'roadmap' in the title

Search for meeting notes from Q4 2025 across all spaces

Page Retrieval and Analysis

Get the complete content of page ID 123456 including all metadata and formatting

Retrieve the 'Onboarding Guide' page from the HR space and summarize the key steps for new employees

Content Creation

Create a new page in the Engineering space titled 'Q1 2026 Sprint Planning' with a template for sprint goals, team capacity, and key deliverables

Create a meeting notes page for today's standup in the Development space with sections for blockers, completed items, and action items

Generate a new troubleshooting guide page in the Support space for common login issues based on recent support tickets

Content Updates and Maintenance

Update the 'Product Roadmap' page in the Product space to add the new features planned for next quarter

Append this week's engineering highlights to the existing Weekly Updates page in the Engineering space

Update the 'Team Directory' page to add three new team members with their roles and contact information

Documentation Workflows

Create a release notes page for version 2.5.0 in the Product space and populate it with changes from the last sprint

Search for all pages with 'DRAFT' in the title and list them for review

Update the FAQ page in the Customer Support space by adding answers to the 5 most common questions from last month

Knowledge Base Management

Create a new troubleshooting article in the IT Support space for VPN connectivity issues with step-by-step resolution steps

Search for outdated documentation by finding all pages in the Technical Docs space that haven't been updated in over 6 months

These prompts demonstrate how Confluence MCP integration streamlines documentation workflows, from content creation and organization to knowledge sharing and team collaboration.

Conclusion

Integrating Atlassian Confluence MCP Server with FlowHunt.io creates a powerful foundation for intelligent documentation automation. Whether you’re streamlining page management, automating content updates, or enhancing knowledge sharing, this integration empowers your AI agents to work seamlessly with your critical Confluence data.

Start with a simple automation and gradually expand your workflows as you become more comfortable with the platform. The combination of Confluence’s robust content management capabilities and FlowHunt’s AI-driven automation will transform how your team collaborates and manages documentation.

Ready to get started? Begin your integration today and unlock the full potential of AI-powered documentation automation!