confluence-mcp

confluence-mcp

Enables AI assistants to search, retrieve, and manage Confluence pages, and generate weekly status drafts from Jira activity.

Category
访问服务器

README

Confluence MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to search and retrieve content from Confluence pages. This allows AI to understand context and design documentation before making changes.

Features

  • Search Confluence Pages: Search for pages by title, content, or keywords
  • Retrieve Page Content: Get full page content including body, metadata, and attachments
  • List Spaces: Browse available Confluence spaces
  • Get Page by ID: Retrieve specific pages by their Confluence ID
  • Context-Aware Operations: AI can understand existing documentation before suggesting changes
  • Weekly status drafting (full-stack): Generate weekly progress and weekly manager review drafts from Jira activity, edit in a small web UI, and copy/paste into Confluence

Problem this solves

Weekly updates are easy to forget and hard to write consistently. This project turns your Jira activity (optionally combined with a few Confluence “context” pages) into manager-ready weekly drafts with a repeatable structure: highlights, progress, risks, next steps, and asks.

Screenshot

Weekly Progress + Manager Review web UI

Prerequisites

  • Python 3.11+ recommended (works with your existing MCP setup)
  • Confluence Cloud or Server instance
  • Confluence API token or username/password for authentication
  • Node.js 18+ (for the web UI)

Installation

Option A: Using venv (recommended)

  1. Create a venv and install dependencies:
python3 -m venv .venv
.venv/bin/python -m pip install -r requirements.txt
  1. Configure by creating a .env file:
cp env.example .env
# Edit .env with your Confluence credentials

Option B: Docker Compose

docker compose -f docker-compose.yml up --build

Configuration

The server requires the following environment variables:

  • CONFLUENCE_URL: Your Confluence instance URL
    • For Cloud: https://your-domain.atlassian.net
    • For Server: https://confluence.your-domain.com
  • CONFLUENCE_EMAIL: Your Confluence email/username
  • CONFLUENCE_API_TOKEN: Your Confluence API token (preferred) or password

Note: The server automatically detects Confluence Cloud vs Server and uses the correct API endpoints (/wiki/rest/api/ for Cloud, /rest/api/ for Server).

Getting a Confluence API Token

  1. Go to https://id.atlassian.com/manage-profile/security/api-tokens
  2. Click "Create API token"
  3. Copy the token and use it in your configuration

Quick Start

  1. Test your connection:
python3 python/test_connection.py
  1. Start the weekly draft backend API:
PYTHONPATH="python/backend:python:." .venv/bin/python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
  1. Start the web UI:
cd frontend
npm install
npm run dev

Then open http://localhost:5173.

  1. Configure your MCP client (see docs/CONFIGURATION.md for details)

Usage

Testing the Connection

Before configuring your MCP client, test that everything works:

# Set environment variables or use .env file
export CONFLUENCE_URL="https://your-domain.atlassian.net"
export CONFLUENCE_EMAIL="your-email@example.com"
export CONFLUENCE_API_TOKEN="your-api-token"

# Run the test script
python3 python/test_connection.py

Running as MCP Server

The server implements the MCP protocol and can be used with MCP-compatible clients like Cursor, Claude Desktop, etc.

Configure in your MCP client settings:

{
  "mcpServers": {
    "confluence": {
      "command": "python",
      "args": ["/path/to/confluence-mcp/python/server.py"],
      "env": {
        "CONFLUENCE_URL": "https://your-domain.atlassian.net",
        "CONFLUENCE_EMAIL": "your-email@example.com",
        "CONFLUENCE_API_TOKEN": "your-api-token"
      }
    }
  }
}

Available Tools

  1. search_pages: Search for Confluence pages by query

    • Parameters: query (string), space_key (optional), limit (optional, default: 10)
  2. get_page: Get a specific page by ID

    • Parameters: page_id (string)
  3. get_page_content: Get the full content of a page

    • Parameters: page_id (string), expand (optional, default: "body.storage,version,space")
  4. list_spaces: List all accessible Confluence spaces

    • Parameters: limit (optional, default: 50)
  5. search_by_title: Search pages by exact or partial title match

    • Parameters: title (string), space_key (optional), limit (optional)
  6. get_jira_summary: Get a summary of Jira tickets assigned to you from the last N days

    • Parameters: days (optional, default: 14), save_to_file (optional, default: true)
    • Returns a formatted summary grouped by status and issue type
    • Automatically saves to 2026/YYYYMM/jira_summary_YYYYMMDD.md if save_to_file is true
    • Uses the same Atlassian credentials as Confluence (CONFLUENCE_URL, CONFLUENCE_EMAIL, CONFLUENCE_API_TOKEN)
  7. get_jira_weekly_report: Generate a high-level weekly report with business benefits

    • Parameters: days (optional, default: 14), save_to_file (optional, default: true)
    • Analyzes tickets to extract value propositions and formats them for stakeholders
    • Categorizes into "This Week" (Done/In Progress/In Review) and "Next Week" (To Do)
    • Automatically saves to 2026/YYYYMM/weekly_report_YYYYMMDD.md if save_to_file is true
    • Perfect for weekly status updates to management
  8. search_jira_tickets_by_email: Search for Jira tickets by a specific user's email address

    • Parameters: email (required), days (optional, default: 14), search_type (optional, default: "assignee")
    • Automatically looks up the user's Account ID from their email, then searches for their tickets
    • search_type can be: "assignee" (tickets assigned to user), "reporter" (tickets reported by user), or "all" (both)
    • Returns a formatted summary grouped by status
    • Useful for understanding what a team member has been working on
    • Note: Jira Cloud requires Account ID (not email) for searches. This tool handles the lookup automatically.
  9. generate_weekly_drafts: Generate two markdown drafts (weekly progress + manager review)

    • Parameters: week_start (optional ISO date), week_end (optional ISO date), jira_days_lookback (optional), confluence_page_ids (optional array), save_to_files (optional), save_to_db (optional)
    • Saves markdown to 2026/YYYYMM/ and (optionally) stores drafts in SQLite for the web UI

Example Usage

Once configured, AI assistants can use the server like this:

User: "Search for pages about database design"
AI: [Uses search_pages tool to find relevant pages]

User: "What does the Beta Pipeline design document say?"
AI: [Uses search_pages to find the document, then get_page_content to retrieve it]

User: "Summarize my Jira tickets from the last 2 weeks"
AI: [Uses get_jira_summary to fetch and summarize tickets, saves to 2026/YYYYMM folder]

User: "Generate a weekly report with business benefits from my Jira tickets"
AI: [Uses get_jira_weekly_report to create stakeholder-friendly weekly update]

User: "What has user@example.com been working on in the last 2 weeks?"
AI: [Uses search_jira_tickets_by_email to find and summarize their tickets]

User: "Generate my weekly progress and manager review drafts for last week"
AI: [Uses generate_weekly_drafts tool, returns two markdown drafts]

Security Notes

  • Never commit your .env file or API tokens to version control
  • Use API tokens instead of passwords when possible
  • The server respects Confluence permissions - users can only access pages they have permission to view
  • If you accidentally shared a token in docs or chat, rotate it immediately in Atlassian and replace with placeholders

Troubleshooting

Authentication Errors

  • Verify your API token is correct
  • Check that your email matches your Confluence account
  • Ensure your Confluence URL is correct (include https://)

Permission Errors

  • The API token must belong to a user with appropriate Confluence permissions
  • Some pages may be restricted and require specific permissions

Connection Errors

  • Verify your Confluence URL is accessible
  • Check network connectivity
  • For Confluence Server, ensure the REST API is enabled

Development

To extend the server with additional functionality:

  1. Add new tools in python/server.py following the MCP tool format
  2. Implement the Confluence API calls in python/confluence_client.py
  3. Update this README with new tool documentation

License

MIT

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