How to Use the Caddy Server MCP in Pydantic AI

Q: How do I initialize the Caddy Server MCP toolset in Pydantic AI?

Use the unified MCPToolset class with your Vinkius HTTP URL. Pass this toolset instance inside the toolsets list when you initialize your Pydantic AI Agent object.

Q: What happens if Caddy Server returns unexpected JSON to Pydantic AI?

If a tool like getconfig returns data that violates your defined schemas, Pydantic AI throws a runtime validation error. This prevents your agent from making decisions based on corrupted or unexpected configuration data.

Q: Can Pydantic AI safely modify a specific Caddy Server block?

Yes, your agent can target specific blocks using getconfigbyid. It can then run replaceconfig to swap out that exact object while ensuring the new payload matches your strict type definitions.

Q: How does the agent handle graceful shutdowns with this server?

The agent can call stopserver to shut down the Caddy instance. Since this stops all routing, you should wrap this tool in a strict validation step to prevent accidental shutdowns.

Run type-safe Caddy Server operations with Pydantic AI agents that validate every Caddy Server MCP Server config change before execution.

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Setup Caddy Server with Pydantic AI

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Validated Configuration Edits via MCP Server

This MCP Server exposes `get_config` and `replace_config` to read and edit your live routing setups. When paired with Pydantic AI, every JSON block returned is strictly validated against Python models before your agent can execute the next step. If the agent attempts to write an invalid configuration, Pydantic AI raises a validation error immediately. This prevents malformed JSON from ever reaching your running proxy.

Granular Path Modification

Your Pydantic AI agent runs `get_config_by_id` to fetch a specific configuration block directly via its ID. Once it has the target block, it can use `insert_config` or `delete_config` to modify specific array elements. The agent validates the schema of the modified block, ensuring your Caddy server always runs a clean configuration.

Strict Certificate Authority Inspections

Querying `get_pki_ca_certs` lets your Pydantic AI agent fetch certificate chains and verify CA configurations with `get_pki_ca`. Pydantic AI parses these responses into strongly-typed structures. The agent can confidently verify certificate details without risking silent parsing errors or unexpected null fields.

Setup guide

Set up Caddy Server MCP in Pydantic AI

Prerequisites

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

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

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

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": {
        "caddy-server-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Caddy Server MCP in Pydantic AI

Use the unified `MCPToolset` class with your Vinkius HTTP URL. Pass this toolset instance inside the `toolsets` list when you initialize your Pydantic AI `Agent` object.

If a tool like `get_config` returns data that violates your defined schemas, Pydantic AI throws a runtime validation error. This prevents your agent from making decisions based on corrupted or unexpected configuration data.

Yes, your agent can target specific blocks using `get_config_by_id`. It can then run `replace_config` to swap out that exact object while ensuring the new payload matches your strict type definitions.

The agent can call `stop_server` to shut down the Caddy instance. Since this stops all routing, you should wrap this tool in a strict validation step to prevent accidental shutdowns.

Your Caddy Server metrics, configuration files, and PKI certificates are processed entirely within your isolated runtime environment. Vinkius secures the endpoint with single-token authentication, meaning your private routing tables and server statistics are never exposed to external networks.

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