Chris CoutinhoandClaude Opus 4.7 719b3b5034 fix(vector): normalize doc_id to str + add Qdrant keyword payload indexes
Production was logging two cascading classes of Qdrant errors against the
welcomed-malamute deployment:

1. HTTP 400 — "Bad request: Index required but not found for \"doc_id\" of
   one of the following types: [keyword]". The collection was created via
   create_collection() with no payload indexes, so any FieldCondition
   filter on doc_id failed at the Qdrant layer (placeholder writes/reads,
   eviction, search context lookups).

2. Compounding the missing index, producers wrote a mix of int and str
   doc_ids: webhook_parser stringified node_id, scanner stringified note
   IDs, news IDs, and deck card IDs — but the file scanner passed the
   numeric file_id through unchanged. A keyword index would not have
   covered both kinds even if it had existed.

This change:

- Normalizes doc_id to str at every producer site (scanner.py:459,
  DocumentTask.doc_id, indexed_*_ids reads from Qdrant).
- Tightens str|int annotations to str across placeholder.py,
  eviction.py, search/verification.py, search/context.py,
  SearchResult.id, and the auth/api visualization endpoints.
- Defensive str() coercion on doc_id reads in semantic.py /
  bm25_hybrid.py / vector/visualization.py for the transition window
  before the backfill runs.
- Adds an idempotent startup migration in get_qdrant_client():
  - _ensure_keyword_payload_indexes creates KEYWORD indexes for
    doc_id, user_id, and doc_type (tolerates "already exists" 400s).
  - _backfill_doc_id_to_string scrolls the collection once and rewrites
    int doc_ids to str. Skipped after a quick sample shows no legacy
    int payloads.
- Public API preserved: SemanticSearchResult.id stays int via explicit
  int(r.id) narrowing in server/semantic.py — surfaces a TypeError with
  actionable context if a future doc_type ships non-numeric ids.
- Documents the startup migration in docs/configuration.md.

Tests: 11 new unit tests in tests/unit/vector/test_qdrant_client.py
covering happy path / already-exists / unrelated-400 for the index
helpers, and sample-skip / mixed-batch rewrite / payload=None edge cases
for the backfill. 889 unit tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-08 19:30:51 +02:00
2026-05-08 17:39:45 +02:00
2025-11-19 23:44:23 +01:00
2026-05-07 07:23:04 +00:00
2025-11-23 16:12:37 +01:00
2025-05-05 03:11:16 +02:00
2026-05-07 07:23:04 +00:00
2026-05-07 07:23:04 +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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