{"categories":[{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/6"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"},{"label":"Communications","url":"https://skillfed.io/packages/category/communications"}],"enrichment":{"capability":"Provides a Model Context Protocol (MCP) server that connects AI assistants like Claude to a Nextcloud instance, enabling them to read and write notes, calendar events, contacts, files, and other Nextcloud app data through a unified API.","skillfed_tags":["mcp-server","nextcloud-integration","rag-ready"],"use_cases":["Enable Claude or other LLMs to create and manage Nextcloud notes and documents through conversational prompts","Let AI assistants read and write calendar events, todos, and manage attendees in Nextcloud Calendar","Use semantic search to find Nextcloud notes, files, or emails by meaning rather than keywords","Integrate Nextcloud file management into IDE-based AI coding assistants for document access and organization","Build multi-user hosted services where clients authenticate via OAuth and the server manages per-user Nextcloud access"],"what_it_does":"This package is a standalone MCP server that runs independently of Nextcloud (via Docker, VM, Kubernetes, or locally) and bridges AI assistants to Nextcloud data. It exposes MCP tools covering Notes, Calendar, Contacts, Files, Deck, Cookbook, Tables, Sharing, News, Mail, Collectives, and Talk apps, allowing large language models to create, read, update, and delete content through natural language conversations.\n\nThe server handles authentication via app-specific passwords (Basic Auth in single-user mode, OAuth-based Login Flow v2 for multi-user deployments) and includes optional experimental semantic search powered by vector embeddings. It supports multiple transports (streamable-http and stdio), document processing with OCR, and tag-based file exclusion for sensitive content. Deployment is flexible: run it locally with uvx, in Docker, or on Kubernetes.","worth_installing":"Yes, if you run Nextcloud and want to give AI assistants (Claude, GPT, Gemini) structured access to your data. The package is actively maintained, has low install friction, and covers a broad set of Nextcloud apps. AGPL-3.0-only licensing requires that any modifications be shared under the same license. No known vulnerabilities. Start with the uvx quick-start or Docker deployment; semantic search is optional and requires additional infrastructure."},"id":"nextcloud-mcp-server","links":{"html":"https://skillfed.io/packages/nextcloud-mcp-server","md":"https://skillfed.io/packages/nextcloud-mcp-server.md","pypi":"https://pypi.org/project/nextcloud-mcp-server/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"agpl","name":"nextcloud-mcp-server","python_support":"supports_current","summary":"Model Context Protocol (MCP) server for Nextcloud integration - enables AI assistants to interact with Nextcloud data"},"popularity":{"monthly_downloads":154031,"position":10862,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.173.1"}