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pinterest-mcp-server

Pinterest MCP Server

A Model Context Protocol (MCP) server for integrating the Pinterest API with AI agents and LLMs.

Overview

This MCP server allows AI agents to interact with the Pinterest API in a standardized way, enabling functionalities like:

  • Retrieving user information

  • Managing Pinterest boards (listing, creating, viewing)

  • Managing pins (listing, creating, viewing)

Related MCP server: Pinterest MCP Server

Prerequisites

  • Node.js (v14 or newer)

  • Pinterest Developer Account

  • Pinterest API App credentials

Setup

  1. Clone this repository:

git clone https://github.com/yourusername/pinterest-mcp-server.git
cd pinterest-mcp-server
  1. Install dependencies:

npm install
  1. Create a .env file from the template:

cp .env.template .env
  1. Edit the .env file with your Pinterest API credentials:

PINTEREST_APP_ID=your_pinterest_app_id
PINTEREST_APP_SECRET=your_pinterest_app_secret
  1. Register your application on the Pinterest Developer Platform

    • Add http://localhost:3052/ as an authorized redirect URI

Usage

  1. Start the MCP server:

npm start
  1. If no authentication token exists, the server will automatically open a browser window for authentication.

  2. After successful authentication, the MCP server will be ready to accept connections from AI agents.

Connecting with AI Agents

The MCP server implements the MCP protocol over Socket.IO and exposes the following tools:

  • pinterest.user.get_info - Get user information

  • pinterest.boards.list - List user's boards

  • pinterest.boards.create - Create a new board

  • pinterest.boards.get - Get board details

  • pinterest.pins.list - List pins on a board

  • pinterest.pins.create - Create a new pin

  • pinterest.pins.get - Get pin details

You can connect your AI agents to this MCP server using compatible MCP client libraries.

Example (Claude.ai Desktop App)

  1. Make sure your MCP server is running

  2. Open Claude Desktop App

  3. Click on "Connect local tools" (bottom right)

  4. Enter http://localhost:3052 as the server URL

  5. You can now ask Claude to perform Pinterest actions like:

    • "List my Pinterest boards"

    • "Create a new Pinterest board called 'Vacation Ideas'"

    • "Pin this image to my Travel board"

License

MIT

Related MCP Connectors

  • Your agent needs Pinterest as a demand signal — what people are saving in a category, which pins earn engagement, what a competitor's boards are collecting. **What you can ask for** • "What pins come up for 'home office setup', and which get saved most?" • "Page through this board and list the products it links to." • "Which boards does this user keep, and what are they about?" • "Show the engagement on this pin." **How to use it** Point any MCP client at https://mcp.aisa.one/pinterest/mcp and sign in with OAuth — there is no key to create or paste. 4 read tools: search pins, read one pin and its engagement, page through a board, and list a user's boards. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Spot the trend here, then ask the same agent for search volume on the same phrase or who already ranks for it — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/social/mcp for X plus Instagram, Reddit, Pinterest and YouTube; https://mcp.aisa.one/gtm/mcp for those plus Similarweb and Apollo.

  • Publish and schedule Pinterest pins from any MCP client. Token refresh and retries handled.

  • Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.

  • AI agents use CalmBoard MCP to access board data, tasks, insights, and project workflows.

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