PinterestMCP
Read-only MCP server for exposing Pinterest boards, sections, pins, and imagery as a visual reference library. Enables ChatGPT and other clients to list, search, and retrieve Pinterest content through natural language.
README
PinterestMCP
Read-only Pinterest MCP server for ChatGPT and other MCP clients. The goal is to expose Pinterest boards, sections, pins, and pin imagery as a stable visual-reference library.
Status
This repository now contains a working TypeScript MCP server with:
- Streamable HTTP MCP endpoint at
/mcp - HTTP endpoints at
/,/health,/privacy,/terms - Typed Pinterest API client with token refresh support
- Read-only MCP tools for boards, sections, pins, search, and pin images
- Unit and integration tests
- GitHub Actions CI
- Vercel-ready entrypoint and rewrites
Current auth modes:
none: local development and inspector workbearer: simple shared-secret gate for a private endpoint
Important:
- Official OpenAI docs recommend OAuth for user-specific remote MCP data.
- This repo is auth-ready at the application boundary, but a production OAuth authorization server is still a separate step.
- Pinterest runtime verification against the real account requires valid Pinterest credentials in environment variables.
Architecture
flowchart TD
A["ChatGPT or MCP Client"] -->|Streamable HTTP| B["PinterestMCP"]
B -->|Bearer access token or refresh flow| C["Pinterest API v5"]
C --> D["Pinterest Account Data"]
E["Optional MCP Auth Layer"] --> B
Auth layers:
- Layer A:
PinterestMCP -> Pinterest API - Layer B:
ChatGPT -> PinterestMCP
Available MCP Tools
pinterest_list_boardspinterest_get_boardpinterest_list_board_sectionspinterest_list_board_pinspinterest_get_pinpinterest_search_saved_pinspinterest_get_pin_imagepinterest_get_reference_set
All tools are annotated as read-only.
Local Setup
Requirements:
- Node.js 22+
- npm 10+
Install and run:
npm ci
cp .env.example .env
npm run dev
Health check:
curl http://localhost:3000/health
Environment Variables
Minimum local Pinterest setup:
PINTEREST_ACCESS_TOKEN=
Refresh-capable setup:
PINTEREST_APP_ID=
PINTEREST_APP_SECRET=
PINTEREST_REFRESH_TOKEN=
PINTEREST_ACCESS_TOKEN=
PINTEREST_ACCESS_TOKEN_EXPIRES_AT=
MCP gate:
MCP_AUTH_MODE=none|bearer
MCP_BEARER_TOKEN=
Pinterest Developer Setup
Based on the official Pinterest docs checked on August 13, 2026:
- Pinterest API uses
v5. - OAuth token endpoint is
https://api.pinterest.com/v5/oauth/token. - Authorization Code flow is the recommended full-capability flow.
- Pinterest now uses continuous refresh tokens with 60-day expiry and indefinite refresh as long as they are rotated in time.
- Relevant scopes are confirmed in the official docs:
boards:readpins:readuser_accounts:readboards:read_secretpins:read_secret
- Official user pin search exists at
GET /search/pins, so this server uses that endpoint when possible.
OAuth and MCP Auth
Pinterest OAuth and MCP auth are separate:
- Pinterest OAuth protects access to Pinterest data.
- MCP auth protects the PinterestMCP endpoint from arbitrary clients.
OpenAI's current docs state that user-specific remote MCP data should be protected with OAuth rather than an anonymous public endpoint. This repo therefore keeps MCP auth configurable and isolates it from the Pinterest client layer.
Deployment
Vercel is supported through:
Build locally:
npm run build
ChatGPT Connection
Two realistic paths exist:
- Manual MCP connection for local/private testing.
- Workspace app / remote MCP rollout after production auth is added.
Useful checks before connecting:
curl http://localhost:3000/health
curl -X POST http://localhost:3000/mcp -H 'Content-Type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"1.0.0"}}}'
Testing
Run the full local verification suite:
npm run lint
npm run typecheck
npm test
npm run build
What is covered:
- normalizers
- pagination
- search ranking
- error mapping
- image host validation
- MCP initialize + tools/list
- MCP
pinterest_get_pin_imageimage-content delivery
Optional smoke coverage:
tests/pinterest-smoke.test.tsactivates only when Pinterest credentials are present.
Security
See SECURITY.md.
Limitations
- No write operations by design.
- Production-grade MCP OAuth is not implemented yet.
- Real Pinterest verification depends on valid Pinterest credentials.
- Final ChatGPT workspace-app verification depends on OpenAI workspace permissions and browser-side setup.
Troubleshooting
401 unauthorizedon/mcp: checkMCP_AUTH_MODEandMCP_BEARER_TOKEN.pinterest_not_configured: add a Pinterest access token or refresh-capable credentials.image_url_untrusted_host: the pin image host is outside the Pinterest CDN allowlist.- Empty search results with local fallback: provide
boardIdor enable official search.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.