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How to Use the Nextcloud MCP in Pydantic AI

Integrate the Nextcloud MCP Server with Pydantic AI. Execute type-safe file operations and user management without silent failures.

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Pydantic AI

Connect Nextcloud MCP to Pydantic AI

Create your Vinkius account to connect Nextcloud to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Nextcloud MCP Server strict typing

The Nextcloud MCP Server provides tools like `create_folder`, `delete_file`, and `list_files` that map directly to Pydantic models. If the Nextcloud WebDAV API returns a malformed response, your Pydantic AI agent fails loudly with a validation error. You don't have to worry about silent data corruption. The framework validates every path and filename before the agent even attempts to execute a file operation.

Manage shares with exact parameters

Agents manipulate permissions via `create_share`, `update_share`, and `delete_share`. Because Pydantic AI enforces strict types, the agent knows exactly which integer corresponds to which share type — like 0 for User, 3 for Public Link, or 10 for Talk. Auditing the current configuration requires running `list_shares`. If the returned schema does not match your expected Pydantic model, the execution halts immediately.

Administer users and app passwords

Your agent handles authentication lifecycles using `get_app_password` and `delete_app_password`. It generates new credentials for scripts and revokes them when they are no longer needed. Tracking system state works through `list_users`, `get_user`, and `list_activities`. You get a rigid, type-checked view of your Nextcloud instance status at all times.

Setup guide

Set up Nextcloud MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "nextcloud-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Nextcloud tools.",
)

result = await agent.run("List recent Nextcloud transactions")
print(result.output)

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Common questions about Nextcloud MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Initialize an `MCPToolset` with your Vinkius HTTP endpoint, then pass it to the `toolsets` array in your Agent definition.
The `list_users` tool requires admin privileges on the Nextcloud instance. If your Vinkius token lacks those rights, the server returns an error, and Pydantic AI throws a strict runtime exception.
Yes. The `create_share` tool accepts specific integers for share types. Your agent passes 0 for a user share or 1 for a group share, and Pydantic AI validates the input type before sending it.
You can. The agent uses `set_user_status_message` to push text updates to the profile. Pydantic AI ensures the message payload is correctly formatted as a string.
This server handles raw application passwords, user activity feeds, and file metadata. Vinkius routes these requests through a stateless proxy layer. Authentication happens via a single endpoint token, and the session memory is destroyed the second the request completes.

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