Nextcloud MCP Server for LangChainGive LangChain instant access to 16 tools to Create Folder, Create Share, Delete App Password, and more

Name: Nextcloud
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Nextcloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Nextcloud MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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JetBrains

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "nextcloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Nextcloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Nextcloud MCP Server

Connect your Nextcloud instance to any AI agent and take full control of your self-hosted productivity suite through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Nextcloud through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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.

The Nextcloud MCP Server exposes 16 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Nextcloud tools available for LangChain

When LangChain connects to Nextcloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-sharing, cloud-hosting, self-hosted, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create folder on Nextcloud

Create a new folder in Nextcloud (WebDAV)

create

Create share on Nextcloud

Share Types: 0=User, 1=Group, 3=Public Link, 4=Email, 6=Federated, 7=Circle, 10=Talk. Create a new Nextcloud share

delete

Delete app password on Nextcloud

Delete the current app password

delete

Delete file on Nextcloud

Delete a file or folder in Nextcloud (WebDAV)

delete

Delete share on Nextcloud

Delete a Nextcloud share

get

Get app password on Nextcloud

Requires authenticating with the real user password. Generate a new app password

get

Get capabilities on Nextcloud

Get Nextcloud server capabilities

get

Get user on Nextcloud

Get details for a specific Nextcloud user

get

Get user status on Nextcloud

Get current user status

list

List activities on Nextcloud

List Nextcloud activity stream

list

List files on Nextcloud

Path is relative to the user root. List files in a Nextcloud directory (WebDAV)

list

List shares on Nextcloud

List all Nextcloud shares

list

List users on Nextcloud

Requires admin privileges. List Nextcloud users (Admin only)

set

Set user status on Nextcloud

Set user online status

set

Set user status message on Nextcloud

Set custom user status message

update

Update share on Nextcloud

Update an existing Nextcloud share

Connect Nextcloud to LangChain via MCP

Follow these steps to wire Nextcloud into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 16 tools from Nextcloud via MCP

Why Use LangChain with the Nextcloud MCP Server

LangChain provides unique advantages when paired with Nextcloud through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Nextcloud MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Nextcloud queries for multi-turn workflows

Nextcloud + LangChain Use Cases

Practical scenarios where LangChain combined with the Nextcloud MCP Server delivers measurable value.

RAG with live data: combine Nextcloud tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Nextcloud, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Nextcloud tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Nextcloud tool call, measure latency, and optimize your agent's performance

Example Prompts for Nextcloud in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Nextcloud immediately.

"Show me the capabilities and enabled apps of my Nextcloud server."

"Create a public share link for the folder '/Documents/Project-Alpha' with read-only permissions."

"Set my status to 'away' and my message to 'Out for lunch' with a pizza emoji."

Troubleshooting Nextcloud MCP Server with LangChain

Common issues when connecting Nextcloud to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Nextcloud + LangChain FAQ

Common questions about integrating Nextcloud MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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