Chris CoutinhoandClaude Opus 4.8 7db8d3e301 fix: isolate PDF parse in a subprocess so a bad file can't OOM the pod
The document processor crash-looped on one pathological PDF: pymupdf4llm's
table/graphics detection over a page with ~1M vector path items ballooned past
the 2 GiB pod limit. The parse ran in a thread, so nothing could interrupt or
memory-bound it -- a single bad file OOM-killed the whole pod.

Run the parse in an isolated worker subprocess (anyio.to_process, cancellable)
with an RLIMIT_AS memory cap and a wall-clock timeout, so a pathological file
fails THAT document instead of the pod (new document_processors/_isolation.py).
Also pass graphics_limit (default 5000) to to_markdown -- validated to cut the
known trigger page from 112 s to 23 s with bounded memory.

On a permanent parse failure the processor returns success=False (instead of
raising, which would retry 3x); vector/processor.py marks the placeholder
"failed" and skips indexing, and the scanner stops re-queuing failed placeholders
until the file changes -- so a doomed file no longer churns.

New per-tenant (per-pod env) settings: DOCUMENT_PDF_GRAPHICS_LIMIT,
DOCUMENT_PARSE_TIMEOUT_SECONDS, DOCUMENT_PARSE_MEM_LIMIT_MB. New metric
astrolabe_document_parse_failed_total{reason=timeout|oom|error} surfaces hard
failures that previously killed the process before any except ran.

First PR of the tiered document-processor effort (Deck #199); tier 0/1/3
pipeline tracked separately.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-04 22:32:34 +02:00
2025-11-19 23:44:23 +01:00
2026-06-04 20:32:07 +00:00
2025-11-23 16:12:37 +01:00
2025-05-05 03:11:16 +02:00
2026-06-04 20:32:07 +00:00

Nextcloud MCP Server

Nextcloud MCP Server

Docker Image

A production-ready MCP server that connects AI assistants to your Nextcloud instance.

Enable Large Language Models like Claude, GPT, and Gemini to interact with your Nextcloud data through a secure API. Create notes, manage calendars, organize contacts, work with files, and more - all through natural language conversations.

This is a dedicated standalone MCP server designed for external MCP clients like Claude Code and IDEs. It runs independently of Nextcloud (Docker, VM, Kubernetes, or local) and provides deep CRUD operations across Nextcloud apps.

Note

Looking for AI features inside Nextcloud? Nextcloud also provides Context Agent, which powers the Assistant app and runs as an ExApp inside Nextcloud. See docs/comparison-context-agent.md for a detailed comparison of use cases.

Tip

Don't want to self-host? Astrolabe Cloud is a managed hosting service for this MCP server, aimed at users and teams who want advanced features like background sync and semantic search without operating the infrastructure themselves. The service is currently under development — sign up on the landing page to join the early-adopter list.

Quick Start

Run the server locally with uvx (no installation required):

NEXTCLOUD_HOST=https://your.nextcloud.instance.com \
NEXTCLOUD_USERNAME=your_username \
NEXTCLOUD_PASSWORD=your_app_password \
  uvx nextcloud-mcp-server run --transport stdio

Or add it directly to your MCP client configuration (e.g. claude_desktop_config.json or .claude/settings.json):

{
  "mcpServers": {
    "nextcloud": {
      "command": "uvx",
      "args": ["nextcloud-mcp-server", "run", "--transport", "stdio"],
      "env": {
        "NEXTCLOUD_HOST": "https://your.nextcloud.instance.com",
        "NEXTCLOUD_USERNAME": "your_username",
        "NEXTCLOUD_PASSWORD": "your_app_password"
      }
    }
  }
}

Tip

Generate an app password in Nextcloud under Settings > Security > Devices & sessions instead of using your login password.

Docker

For full features including semantic search, run with Docker:

docker run -p 127.0.0.1:8000:8000 --rm \
  -e NEXTCLOUD_HOST=https://your.nextcloud.instance.com \
  -e NEXTCLOUD_USERNAME=your_username \
  -e NEXTCLOUD_PASSWORD=your_app_password \
  ghcr.io/cbcoutinho/nextcloud-mcp-server:latest

Then connect your MCP client (Claude Desktop, IDEs, mcp dev, etc.) to http://127.0.0.1:8000/mcp.

For Kubernetes, see cbcoutinho/helm-charts. For other deployment options and Compose profiles, see docs/installation.md.

Key Features

  • 110+ MCP Tools - Comprehensive API coverage across 10 Nextcloud apps
  • MCP Resources - Structured data URIs for browsing Nextcloud data
  • Semantic Search (Experimental) - Optional vector-powered search for Notes, Files, News items, and Deck cards (requires Qdrant + Ollama)
  • Document Processing - OCR and text extraction from PDFs, DOCX, images with progress notifications
  • Flexible Deployment - Docker, Kubernetes (Helm chart), VM, or local installation
  • Production-Ready Auth - Basic Auth with app passwords; multi-user via Login Flow v2 — MCP clients authenticate via OAuth, the server handles Nextcloud app passwords transparently
  • Tag-Based File Exclusion - Hide sensitive files/folders from MCP file tools by tagging them with a configured Nextcloud system tag (EXCLUDED_TAGS). See docs/configuration.md
  • Multiple Transports - streamable-http (default) and stdio

Supported Apps

App Tools Capabilities
Notes 7 Full CRUD, keyword search, semantic search
Calendar 20+ Events, todos (tasks), recurring events, attendees, availability
Contacts 8 Full CardDAV support, address books
Files (WebDAV) 12 Filesystem access, OCR/document processing
Deck 15 Boards, stacks, cards, labels, assignments
Cookbook 13 Recipe management, URL import (schema.org)
Tables 5 Row operations on Nextcloud Tables
Sharing 10+ Create and manage shares
News 8 Feeds, folders, items, feed health monitoring
Collectives 16 Full CRUD on collectives, pages, and tags
Talk (spreed) 6 List conversations, read/post messages, mark as read, list participants
Semantic Search 2+ Vector search for Notes, Files, News items, and Deck cards (experimental, opt-in, requires infrastructure)

Want to see another Nextcloud app supported? Open an issue or contribute a pull request!

Authentication

The MCP server authenticates to Nextcloud using app-specific passwords (Basic Auth). Three deployment modes are supported:

Mode Best for
Single-User (BasicAuth) Personal use, development, single-user deployments
Multi-User (BasicAuth pass-through) Multi-user setups where clients send credentials via Authorization header
Multi-User (Login Flow v2) Multi-user / hosted deployments — clients authenticate to the MCP server via OAuth, and the server obtains a per-user app password from Nextcloud and uses it transparently

OAuth-direct-to-Nextcloud is no longer supported (it required upstream patches to user_oidc that were never merged). Login Flow v2 replaces it for multi-user deployments and works with stock Nextcloud.

See docs/authentication.md for setup instructions.

An experimental RAG pipeline that lets MCP clients find Nextcloud content by meaning rather than keywords — a query for "car" also surfaces notes about "vehicle" or "transportation". Disabled by default (ENABLE_SEMANTIC_SEARCH=false); requires a vector database and embedding service. See docs/semantic-search-architecture.md and docs/configuration.md.

Tip

Don't want to run Qdrant and an embedding service? Astrolabe Cloud (under development) provides semantic search and background sync as a managed service.

Documentation

Contributing

Contributions are welcome!

Security

MseeP.ai Security Assessment

Found a security issue? Do not open a public GitHub issue. Use GitHub's private vulnerability reporting, or email security@astrolabecloud.com if you can't use GitHub. See SECURITY.md for details.

License

This project is licensed under the AGPL-3.0 License. See LICENSE for details.

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