How to Use the ButterCMS MCP in Mastra AI

Q: Can Mastra AI and ButterCMS handle my content approval process?

Yes. You can set up a workflow that uses getpostdetails to check for specific flags and then requires human approval before publishing.

Q: How do I search ButterCMS content with Mastra AI?

Map the searchblogposts tool to your agent's tool list. Your Mastra AI agent will then perform the search whenever a user asks for specific content.

Build complex publishing workflows in Mastra AI using your ButterCMS data. Automate your content ops today.

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Connect ButterCMS MCP to Mastra AI

Create your Vinkius account to connect ButterCMS to Mastra 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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Setup ButterCMS with Mastra AI

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Automate ButterCMS author checks with Mastra AI

Run `list_butter_authors` to sync your writing team status. Mastra AI can trigger alerts if an author is missing from your CMS. Your workflow handles the logic. If the tool returns an empty set, your agent knows exactly what to do next.

Manage ButterCMS tags via Mastra AI workflows

Use `list_butter_tags` to audit your taxonomy structure. Your agent checks if your tags match your internal standards. It flags inconsistencies in real-time. You catch errors before they hit your production site.

Deploy ButterCMS collection logic in Mastra AI

Connect `list_global_collections` to your agent's decision engine. You can now build logic that handles CMS items based on their category or type. Your agent maps these items automatically. It builds the full content tree for you.

Setup guide

Set up ButterCMS MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ButterCMS tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "buttercms-mcp-client",
  servers: {
    "buttercms-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ButterCMS Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ButterCMS tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ButterCMS transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ButterCMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ButterCMS MCP in Mastra AI

Add the ButterCMS MCP URL to your Mastra agent config. You'll then be able to call tools like `search_blog_posts` inside your agent tasks.

Yes. You can set up a workflow that uses `get_post_details` to check for specific flags and then requires human approval before publishing.

Your data is handled via a secure, ephemeral tunnel. Mastra AI only reads the content you explicitly request through the tool definitions.

Map the `search_blog_posts` tool to your agent's tool list. Your Mastra AI agent will then perform the search whenever a user asks for specific content.

Since it uses standard transport, you can wrap your tool calls in Mastra's retry logic. If a request fails, the workflow kicks in automatically.

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