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nextcloud-mcp-server/CLAUDE.md
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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Development Commands

Testing

# Run all tests
uv run pytest

# Run integration tests only
uv run pytest -m integration

# Run tests with coverage
uv run pytest --cov

# Skip integration tests
uv run pytest -m "not integration"

Load Testing

# Run benchmark with default settings (10 workers, 30 seconds)
uv run python -m tests.load.benchmark

# Quick test with custom concurrency and duration
uv run python -m tests.load.benchmark --concurrency 20 --duration 60

# Extended load test (50 workers for 5 minutes)
uv run python -m tests.load.benchmark -c 50 -d 300

# Export results to JSON for analysis
uv run python -m tests.load.benchmark -c 20 -d 60 --output results.json

# Test OAuth server on port 8001
uv run python -m tests.load.benchmark --url http://127.0.0.1:8001/mcp

# Verbose mode with detailed logging
uv run python -m tests.load.benchmark -c 10 -d 30 --verbose

Load Testing Features:

  • Mixed workload simulating realistic MCP usage (40% reads, 20% writes, 15% search, 25% other operations)
  • Real-time progress bar with live RPS and error counts
  • Detailed metrics:
    • Throughput (requests/second)
    • Latency percentiles (p50, p90, p95, p99)
    • Per-operation breakdown
    • Error rates and types
  • Automatic cleanup of test data
  • JSON export for CI/CD integration
  • Server health checks before starting

Understanding Results:

  • Requests/Second (RPS): Higher is better. Expected baseline: 50-200 RPS for mixed workload
  • Latency:
    • p50 (median): Should be <100ms for most operations
    • p95: Should be <500ms
    • p99: Should be <1000ms
  • Error Rate: Should be <1% under normal load

Common Bottlenecks:

  1. Nextcloud backend API response times (most common)
  2. Database connection limits
  3. HTTP client connection pooling
  4. Network I/O between containers

Code Quality

# Format and lint code
uv run ruff check
uv run ruff format

# Type checking
# No explicit type checker configured - this is a Python project using ruff for linting

Running the Server

# Local development - load environment variables and run
export $(grep -v '^#' .env | xargs)
mcp run --transport sse nextcloud_mcp_server.app:mcp

# Docker development environment with Nextcloud instance
docker-compose up

# After code changes, rebuild and restart the appropriate MCP server container:
# For basic auth changes (most common) - uses admin credentials
docker-compose up --build -d mcp

# For OAuth changes - uses OAuth authentication flow
docker-compose up --build -d mcp-oauth

# Build Docker image
docker build -t nextcloud-mcp-server .

Important: Two MCP Server Containers

  • mcp (port 8000): Uses basic auth with admin credentials. Use this for most development and testing.
  • mcp-oauth (port 8001): Uses OAuth authentication. Only use this when working on OAuth-specific features or tests.

Environment Setup

# Install dependencies
uv sync

# Install development dependencies
uv sync --group dev

Architecture Overview

This is a Python MCP (Model Context Protocol) server that provides LLM integration with Nextcloud. The architecture follows a layered pattern:

Core Components

  • nextcloud_mcp_server/app.py - Main MCP server entry point using FastMCP framework
  • nextcloud_mcp_server/client/ - HTTP client implementations for different Nextcloud APIs
  • nextcloud_mcp_server/server/ - MCP tool/resource definitions that expose client functionality
  • nextcloud_mcp_server/controllers/ - Business logic controllers (e.g., notes search)

Client Architecture

  • NextcloudClient - Main orchestrating client that manages all app-specific clients
  • BaseNextcloudClient - Abstract base class providing common HTTP functionality and retry logic
  • App-specific clients: NotesClient, CalendarClient, ContactsClient, TablesClient, WebDAVClient

Server Integration

Each Nextcloud app has a corresponding server module that:

  1. Defines MCP tools using @mcp.tool() decorators
  2. Defines MCP resources using @mcp.resource() decorators
  3. Uses the context pattern to access the NextcloudClient instance

Supported Nextcloud Apps

  • Notes - Full CRUD operations and search
  • Calendar - CalDAV integration with events, recurring events, attendees, and tasks (VTODO)
    • Calendar Operations: List, create, delete calendars
    • Event Operations: Full CRUD, recurring events, attendees, reminders, bulk operations
    • Task Operations (VTODO): Full CRUD for CalDAV tasks with:
      • Status tracking (NEEDS-ACTION, IN-PROCESS, COMPLETED, CANCELLED)
      • Priority levels (0-9, 1=highest, 9=lowest)
      • Due dates, start dates, completion tracking
      • Percent complete (0-100%)
      • Categories and filtering
      • Search across all calendars
    • Note: Calendar implementation uses caldav library's AsyncDavClient
  • Contacts - CardDAV integration with address book operations
  • Tables - Row-level operations on Nextcloud Tables
  • WebDAV - Complete file system access

Key Patterns

  1. Environment-based configuration - Uses NextcloudClient.from_env() to load credentials from environment variables
  2. Async/await throughout - All operations are async using httpx
  3. Retry logic - @retry_on_429 decorator handles rate limiting
  4. Context injection - MCP context provides access to the authenticated client instance
  5. Modular design - Each Nextcloud app is isolated in its own client/server pair

MCP Response Patterns

CRITICAL: Never return raw List[Dict] from MCP tools - always wrap in Pydantic response models

FastMCP serialization issue: raw lists get mangled into dicts with numeric string keys.

Pattern:

  1. Client methods return List[Dict] (raw data)
  2. MCP tools convert to Pydantic models and wrap in response object
  3. Response models inherit from BaseResponse, include results field + metadata

Reference implementations:

  • SearchNotesResponse in nextcloud_mcp_server/models/notes.py:80
  • SearchFilesResponse in nextcloud_mcp_server/models/webdav.py:113
  • Tool examples: nextcloud_mcp_server/server/{notes,webdav}.py

Testing: Extract data["results"] from MCP responses, not data directly.

Testing Structure

  • Integration tests in tests/client/ and tests/server/ - Test real Nextcloud API interactions
  • Fixtures in tests/conftest.py - Shared test setup and utilities
  • Tests are marked with @pytest.mark.integration for selective running
  • Important: Integration tests run against live Docker containers. After making code changes:
    • For basic auth tests: rebuild with docker-compose up --build -d mcp
    • For OAuth tests: rebuild with docker-compose up --build -d mcp-oauth

Testing Best Practices

  • MANDATORY: Always run tests after implementing features or fixing bugs
    • Run tests to completion before considering any task complete
    • If tests require modifications to pass, ask for permission before proceeding
    • Rebuild the correct container after code changes:
      • For basic auth tests (most common): docker-compose up --build -d mcp
      • For OAuth tests: docker-compose up --build -d mcp-oauth
  • Use existing fixtures from tests/conftest.py to avoid duplicate setup work:
    • nc_mcp_client - MCP client session for tool/resource testing (uses mcp container)
    • nc_mcp_oauth_client - MCP client session for OAuth testing (uses mcp-oauth container)
    • nc_client - Direct NextcloudClient for setup/cleanup operations
    • temporary_note - Creates and cleans up test notes automatically
    • temporary_addressbook - Creates and cleans up test address books
    • temporary_contact - Creates and cleans up test contacts
  • Test specific functionality after changes:
    • For Notes changes: uv run pytest tests/server/test_mcp.py -k "notes" -v
    • For specific API changes: uv run pytest tests/client/notes/test_notes_api.py -v
    • For OAuth changes: uv run pytest tests/server/test_oauth*.py -v (remember to rebuild mcp-oauth container)
  • Avoid creating standalone test scripts - use pytest with proper fixtures instead

OAuth/OIDC Testing

OAuth integration tests use automated Playwright browser automation to complete the OAuth flow programmatically.

OAuth Testing Setup:

  • Main fixtures: nc_oauth_client, nc_mcp_oauth_client - Use Playwright automation
  • Shared OAuth Client: All test users authenticate using a single OAuth client
    • Stored in .nextcloud_oauth_shared_test_client.json
    • Matches production MCP server behavior
    • Each user gets their own unique access token
    • Implementation: shared_oauth_client_credentials fixture in tests/conftest.py
  • Available fixtures: playwright_oauth_token, nc_oauth_client, nc_mcp_oauth_client
  • Multi-user fixtures: alice_oauth_token, bob_oauth_token, charlie_oauth_token, diana_oauth_token
  • Requirements: NEXTCLOUD_HOST, NEXTCLOUD_USERNAME, NEXTCLOUD_PASSWORD environment variables
  • Uses pytest-playwright-asyncio for async Playwright fixtures
  • Playwright configuration: Use pytest CLI args like --browser firefox --headed to customize
  • Install browsers: uv run playwright install firefox (or chromium, webkit)

Example Commands:

# Run all OAuth tests with Playwright automation using Firefox
uv run pytest tests/server/test_oauth*.py --browser firefox -v

# Run specific tests with visible browser for debugging
uv run pytest tests/server/test_mcp_oauth.py --browser firefox --headed -v

# Run with Chromium (default)
uv run pytest tests/server/test_oauth*.py -v

Test Environment:

  • Two MCP server containers are available:
    • mcp (port 8000): Uses basic auth with admin credentials - for most testing
    • mcp-oauth (port 8001): Uses OAuth authentication - for OAuth-specific testing
  • Start OAuth MCP server: docker-compose up --build -d mcp-oauth
  • Important: When working on OAuth functionality, always rebuild mcp-oauth container, not mcp
  • OAuth client credentials cached in .nextcloud_oauth_shared_test_client.json

CI/CD Notes:

  • Playwright tests run in CI/CD environments
  • Use Firefox browser in CI: --browser firefox (Chromium may have issues with localhost redirects)

Configuration Files

  • pyproject.toml - Python project configuration using uv for dependency management
  • .env (from env.sample) - Environment variables for Nextcloud connection
  • docker-compose.yml - Complete development environment with Nextcloud + database

Integration testing with docker

Nextcloud

  • The app container is running nextcloud.
  • Use docker compose exec app php occ ... to get a list of available commands

Mariadb

  • The db container is running mariadb
  • Use docker compose exec db mariadb -u [user] -p [password] [database] to execute queries. Check the docker-compose file for credentials