Pinterest MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pinterest through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pinterest": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pinterest Agent",
instructions:
"You help users interact with Pinterest " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pinterest?"
);
console.log(result.text);
}
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 Pinterest MCP Server
Empower your AI agent to orchestrate your entire visual discovery ecosystem on Pinterest, the platform for inspiration and creative ideas. By connecting Pinterest to your agent, you transform board management and pinning into a natural conversation. Your agent can instantly list your boards, audit your pin library, and create new content without you ever touching a dashboard. Whether you are a content curator or a brand marketer, your agent acts as a real-time creative assistant, ensuring your visual catalog is always organized and inspiration is captured.
Mastra's agent abstraction provides a clean separation between LLM logic and Pinterest tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Board Auditing — List all boards in your account and retrieve detailed metadata, including descriptions and IDs.
- Pin Management — Create new pins with titles, descriptions, and destination links directly through natural language.
- Library Oversight — Query pins for any specific board to maintain a clear view of your visual categorization.
- Governance Controls — Autonomously delete pins or boards that no longer fit your aesthetic or strategy.
- Account Intelligence — Retrieve detailed user account information to maintain strict organizational control.
The Pinterest MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI 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 Pinterest to Mastra AI via MCP
Follow these steps to integrate the Pinterest MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from Pinterest via MCP
Why Use Mastra AI with the Pinterest MCP Server
Mastra AI provides unique advantages when paired with Pinterest through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Pinterest without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pinterest tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Pinterest + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pinterest MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pinterest, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pinterest as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pinterest on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pinterest tools alongside other MCP servers
Pinterest MCP Tools for Mastra AI (9)
These 9 tools become available when you connect Pinterest to Mastra AI via MCP:
create_board
Create a new board
create_pin
Create a new pin
delete_board
Delete a specific board
delete_pin
Delete a specific pin
get_board
Get details for a specific board
get_me
Get authenticated Pinterest user account info
get_pin
Get details for a specific pin
list_boards
List all boards for the authenticated user
list_pins
Optional: filter by board ID. List pins. Optional: filter by board ID
Example Prompts for Pinterest in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Pinterest immediately.
"List all my Pinterest boards."
"Create a new pin in 'Travel Goals' titled 'Summer in Italy'."
"Show me the pins in my 'Home Decor' board."
Troubleshooting Pinterest MCP Server with Mastra AI
Common issues when connecting Pinterest to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPinterest + Mastra AI FAQ
Common questions about integrating Pinterest MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Pinterest 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 Pinterest to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.