Pinterest MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pinterest through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Pinterest Assistant",
instructions=(
"You help users interact with Pinterest. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pinterest"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 9 tools from Pinterest through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Pinterest, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Pinterest MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Pinterest
Why Use OpenAI Agents SDK with the Pinterest MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pinterest through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Pinterest + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pinterest MCP Server delivers measurable value.
Automated workflows: build agents that query Pinterest, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Pinterest, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pinterest tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pinterest to resolve tickets, look up records, and update statuses without human intervention
Pinterest MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Pinterest to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Pinterest to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pinterest + OpenAI Agents SDK FAQ
Common questions about integrating Pinterest MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.