Caddy Server MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Adapt Config, Append Config, Delete Config, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Caddy Server through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Caddy Server MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Caddy Server, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Caddy Server MCP Server
Connect your Caddy Server instance to any AI agent and automate your web infrastructure management through natural conversation.
The Vercel AI SDK gives every Caddy Server tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Configuration Management — Load, get, append, or replace server configurations using JSON or Caddyfile formats.
- Caddyfile Adaptation — Instantly convert Caddyfile text into native Caddy JSON without applying the changes.
- Upstream Monitoring — Check the real-time status and health of your proxy upstreams and backends.
- PKI & Certificates — Inspect internal CA information and retrieve certificate chains for your managed domains.
- Metrics & Observability — Access Prometheus-style metrics to monitor server performance and request traffic.
- Granular Control — Delete specific configuration paths or gracefully stop the server process.
The Caddy Server MCP Server exposes 13 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 13 Caddy Server tools available for Vercel AI SDK
When Vercel AI SDK connects to Caddy Server through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-server, reverse-proxy, api-gateway, 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.
Adapt config on Caddy Server
Adapts a configuration (e.g., Caddyfile) to JSON without running it
Append config on Caddy Server
and target is array, expands payload array and appends elements. Sets or replaces an object; appends to an array in Caddy config
Delete config on Caddy Server
Deletes the value at the named path in Caddy config
Get config on Caddy Server
Leave empty for full config. Exports the configuration at the specified path as JSON
Get config by id on Caddy Server
Access a configuration object directly via its @id field
Get metrics on Caddy Server
Exposes metrics in Prometheus exposition format
Get pki ca on Caddy Server
Returns information about a particular PKI app CA
Get pki ca certs on Caddy Server
Returns the certificate chain for a particular CA
Get upstreams on Caddy Server
Returns the current status of configured proxy upstreams
Insert config on Caddy Server
Creates a new object or inserts into an array at a specific index
Load config on Caddy Server
Use application/json for native JSON, or text/caddyfile for Caddyfile. Sets or replaces the active Caddy configuration
Replace config on Caddy Server
Strictly replaces an existing object or array element in Caddy config
Stop server on Caddy Server
Gracefully shuts down the Caddy server and exits the process
Connect Caddy Server to Vercel AI SDK via MCP
Follow these steps to wire Caddy Server into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Caddy Server MCP Server
Vercel AI SDK provides unique advantages when paired with Caddy Server through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Caddy Server integration everywhere
Built-in streaming UI primitives let you display Caddy Server tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Caddy Server + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Caddy Server MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Caddy Server in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Caddy Server tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Caddy Server capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Caddy Server through natural language queries
Example Prompts for Caddy Server in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Caddy Server immediately.
"Get the full JSON configuration of my Caddy server."
"Adapt this Caddyfile to JSON: 'example.com { reverse_proxy localhost:8080 }'"
"Check the status of my proxy upstreams."
Troubleshooting Caddy Server MCP Server with Vercel AI SDK
Common issues when connecting Caddy Server to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCaddy Server + Vercel AI SDK FAQ
Common questions about integrating Caddy Server MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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