Fieldfolio MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fieldfolio through 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="Fieldfolio Assistant",
instructions=(
"You help users interact with Fieldfolio. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fieldfolio"
)
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 Fieldfolio MCP Server
Fieldfolio is a leading B2B wholesale marketplace. This MCP server allows your AI agent to interact with your Fieldfolio seller account flawlessly.
The OpenAI Agents SDK auto-discovers all 12 tools from Fieldfolio through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fieldfolio, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Product Orchestration — List all items in your wholesale catalog and fetch detailed metadata for specific products natively.
- Order Management — Retrieve and inspect wholesale orders to stay updated on fulfillment and sales flawlessly.
- Inventory Intelligence — Query real-time stock levels and update inventory quantities directly from the agent flawlessy.
- Customer CRM — Access retail customer profiles and order history to personalize business relationships flawlessly.
- Catalog Search — Search your entire wholesale catalog by keyword to quickly find specific items flawlessly.
- Webhook Auditing — List active webhooks to ensure your third-party integrations are synchronized flawlessly.
The Fieldfolio MCP Server exposes 12 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 Fieldfolio to OpenAI Agents SDK via MCP
Follow these steps to integrate the Fieldfolio 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 12 tools from Fieldfolio
Why Use OpenAI Agents SDK with the Fieldfolio MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fieldfolio 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
Fieldfolio + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fieldfolio MCP Server delivers measurable value.
Automated workflows: build agents that query Fieldfolio, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Fieldfolio, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fieldfolio tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fieldfolio to resolve tickets, look up records, and update statuses without human intervention
Fieldfolio MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fieldfolio to OpenAI Agents SDK via MCP:
get_customer
Get details for a specific retail customer
get_me
Get details for the authorized seller account
get_order
Get details for a specific wholesale order
get_product
Get details for a specific product
list_categories
List all product categories
list_customers
List all retail customers
list_inventory
List inventory levels for all products
list_orders
List all wholesale orders
list_products
List all products in your wholesale catalog
list_webhooks
List all configured webhooks
search_catalog
Search the wholesale catalog by keyword
update_inventory
Update inventory quantity for a specific product
Example Prompts for Fieldfolio in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fieldfolio immediately.
"List my active wholesale orders."
"Check the inventory level for 'Summer T-Shirt'."
"Search the catalog for 'Ceramic Vases'."
Troubleshooting Fieldfolio MCP Server with OpenAI Agents SDK
Common issues when connecting Fieldfolio to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fieldfolio + OpenAI Agents SDK FAQ
Common questions about integrating Fieldfolio 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 Fieldfolio 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.
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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 Fieldfolio to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
