Compatible with every major AI agent and IDE
What is the Nextcloud MCP Server?
Connect your Nextcloud instance to any AI agent and take full control of your self-hosted productivity suite through natural conversation.
What you can do
- File & Folder Management — List, create, and delete files or folders within your Nextcloud storage directly from the chat.
- Advanced Sharing — Create and manage shares for users, groups, or public links with custom permissions and passwords.
- User & Admin Tools — List users (admin only), fetch detailed user profiles, and inspect server capabilities and enabled apps.
- Presence & Status — Get or set your online status and custom status messages with emojis to keep your team informed.
- Activity Tracking — Monitor recent activities and changes within your Nextcloud environment.
How it works
- Subscribe to this server
- Enter your Nextcloud URL, Username, and App Password
- Start managing your cloud storage and collaboration tools from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Self-Hosters — Manage your personal cloud infrastructure without leaving your AI workspace.
- Teams & Organizations — Quickly share documents and update statuses during collaborative sessions.
- Developers — Inspect server capabilities and manage app passwords directly from your coding environment.
Built-in capabilities (16)
Create a new folder in Nextcloud (WebDAV)
Share Types: 0=User, 1=Group, 3=Public Link, 4=Email, 6=Federated, 7=Circle, 10=Talk. Create a new Nextcloud share
Delete the current app password
Delete a file or folder in Nextcloud (WebDAV)
Delete a Nextcloud share
Requires authenticating with the real user password. Generate a new app password
Get Nextcloud server capabilities
Get details for a specific Nextcloud user
Get current user status
List Nextcloud activity stream
Path is relative to the user root. List files in a Nextcloud directory (WebDAV)
List all Nextcloud shares
Requires admin privileges. List Nextcloud users (Admin only)
Set user online status
Set custom user status message
Update an existing Nextcloud share
Why LlamaIndex?
LlamaIndex agents combine Nextcloud tool responses with indexed documents for comprehensive, grounded answers. Connect 16 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Nextcloud tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Nextcloud tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Nextcloud, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Nextcloud tools were called, what data was returned, and how it influenced the final answer
Nextcloud in LlamaIndex
Nextcloud and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Nextcloud to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Nextcloud in LlamaIndex
The Nextcloud MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Nextcloud for LlamaIndex
Every tool call from LlamaIndex to the Nextcloud MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I create a public share link for a specific folder?
Use the create_share tool. Provide the path to your folder and set shareType to 3 (Public Link). You can also optionally set a password for added security.
Can I change my online status message using the AI?
Yes! You can use set_user_status to change your availability (e.g., 'dnd', 'away') and set_user_status_message to set a custom text and emoji icon.
Is it possible to see which apps are enabled on my Nextcloud server?
Absolutely. Use the get_capabilities tool to retrieve a full list of server features, version information, and all currently enabled applications.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Nextcloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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