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Summary
Manage Pinterest (boards, pins, search, ads, audiences) from any AI agent via Business API. 9 tools, OAuth2 token.
Try asking
Example prompts for Pinterest
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Pinterest, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Pinterest + Gemini
Manage Pinterest (boards, pins, search, ads, audiences) from any AI agent via Business API. 9 tools, OAuth2 token.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
PINTEREST_CLIENT_ID, PINTEREST_CLIENT_SECRET
Step 1 — Get credentials
This connector wraps the Pinterest API v5 (api.pinterest.com/v5). You authorize it once, in AnythingMCP; access tokens are then renewed automatically.
Setup:
- Create an app at https://developers.pinterest.com/apps/.
- Under the app's Redirect URIs, add
https://cloud.anythingmcp.com/api/mcp-oauth/callbackon AnythingMCP Cloud, or<your AnythingMCP server URL>/api/mcp-oauth/callbackwhen you host AnythingMCP yourself. Pinterest requires an exact match. - Enter the app's App ID as
PINTEREST_CLIENT_IDand its App secret key asPINTEREST_CLIENT_SECRET, leavePINTEREST_REFRESH_TOKENempty, and install.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Pinterestshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| Tool | What it does |
|---|---|
pinterest_user_account | Get the authenticated user's account (username, account_type, profile_image, board_count, follower_count) |
pinterest_list_boards | List the authenticated user's boards |
pinterest_get_board | Get a single board with section + pin counts |
pinterest_create_board | Create a board |
pinterest_list_board_pins | List pins in a board |
pinterest_get_pin | Get a single pin with full media info |
pinterest_create_pin | Create a pin on a board from an external image URL |
pinterest_delete_pin | Delete a pin |
pinterest_search_pins | Search the authenticated user's pins (across all their boards) by free-text query |
FAQ
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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