ButterCMS MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ButterCMS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { 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 ButterCMS, 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 ButterCMS MCP Server
Connect your ButterCMS publishing instance to any AI agent and extract rich text data, marketing pages, and content taxonomy through natural conversation.
The Vercel AI SDK gives every ButterCMS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Blog Posts Intelligence — Read precise articles via slug, list large arrays, or search full-text indexes to gather knowledge from your blog
- Taxonomy Extractor — Dig deep into your configured internal Tags, Authors, and Categories without opening the standard browser console
- Custom Pages & Collections — Enumerate explicit structured JSON objects tracking raw page models spanning multiple website layers effortlessly
The ButterCMS MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ButterCMS to Vercel AI SDK via MCP
Follow these steps to integrate the ButterCMS MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from ButterCMS and passes them to the LLM
Why Use Vercel AI SDK with the ButterCMS MCP Server
Vercel AI SDK provides unique advantages when paired with ButterCMS 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 ButterCMS integration everywhere
Built-in streaming UI primitives let you display ButterCMS 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
ButterCMS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ButterCMS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ButterCMS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ButterCMS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ButterCMS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ButterCMS through natural language queries
ButterCMS MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ButterCMS to Vercel AI SDK via MCP:
get_page_layout
Retrieve the exact structural matching verifying explicit UI routing
get_post_details
Retrieve explicit Cloud logging tracing explicit Post Slugs
list_blog_posts
Identify bounded routing spaces inside the Headless ButterCMS Post limit
list_butter_authors
Dispatch an automated validation check routing CMS Writers
list_butter_categories
Irreversibly analyze explicit CMS structures routing groupings
list_butter_tags
Mutate global Web CRM boundaries mapping Taxonomy hits
list_custom_pages
Inspect deep internal arrays mitigating specific Page configurations
list_global_collections
Enumerate explicitly attached structured rules exporting Content items
search_blog_posts
Perform structural extraction of properties driving active Keywords
search_collection_field
Identify precise active arrays spanning filtered Collections
Example Prompts for ButterCMS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ButterCMS immediately.
"List all our globally defined CMS categories and tell me what the main topic is."
"Can you fetch the specific details for the article slug 'intro-to-ai-agents'?"
"Perform a deep search natively for all posts containing 'startup scale'."
Troubleshooting ButterCMS MCP Server with Vercel AI SDK
Common issues when connecting ButterCMS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpButterCMS + Vercel AI SDK FAQ
Common questions about integrating ButterCMS 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.Connect ButterCMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ButterCMS to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.