Pricefx MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pricefx 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="Pricefx Assistant",
instructions=(
"You help users interact with Pricefx. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pricefx"
)
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 Pricefx MCP Server
Harness the power of Pricefx, the premier Cloud Pricing Optimization platform, by coupling it directly to your LLM agents. Empower your AI to navigate vast B2B catalogs, securely read customer pricing grids, and orchestrate automated Quote generation (CPQ) instantaneously via natural language prompts.
The OpenAI Agents SDK auto-discovers all 10 tools from Pricefx through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pricefx, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Live Catalog & Pricing — Search deep into the
fetch_productslogic to find base SKUs, and evaluate their explicit Price Math limits viaget_product - CRM & Account Rules — Query your partition tracing active CRM records via
fetch_customers, or force new structures dynamically (create_customer) - Quote Engine (CPQ) — Ask the AI to build dynamic Quotes on the fly (
create_quote) calculating complex arrays, or trace why an exist Quote ID failed approval (get_quote) - Seamless Deletion — Obliterate drafted quotes matching strict constraints from your Partition without accessing the Gateway (
delete_quote)
The Pricefx MCP Server exposes 10 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 Pricefx to OpenAI Agents SDK via MCP
Follow these steps to integrate the Pricefx 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 10 tools from Pricefx
Why Use OpenAI Agents SDK with the Pricefx MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pricefx 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
Pricefx + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pricefx MCP Server delivers measurable value.
Automated workflows: build agents that query Pricefx, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Pricefx, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pricefx tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pricefx to resolve tickets, look up records, and update statuses without human intervention
Pricefx MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Pricefx to OpenAI Agents SDK via MCP:
create_customer
Ensure JSON format is robust. Provision a highly-available JSON Payload generating hard Customer bindings
create_quote
Retrieve the exact structural matching verifying CPQ Generation
delete_quote
Irreversibly vaporize explicit validations extracting rich Churn flags
fetch_customers
Identify bounded CRM records inside the Headless Pricefx Platform
fetch_products
Enumerate explicitly attached structured rules exporting active pricing Catalog
fetch_quotes
Identify precise active arrays spanning native Gateway auth
get_customer
Perform structural extraction of properties driving active Account logic
get_product
Retrieve explicit Cloud logging tracing explicit Product limits
get_quote
Dispatch an automated validation check routing explicit Quote history
update_customer
Provide bulk bounds strictly formatted. Inspect deep internal arrays mitigating specific Plan Math
Example Prompts for Pricefx in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pricefx immediately.
"Can you fetch all our active Quotes and find any that are still in Draft status?"
"We need to create a new customer record manually. Give me the JSON for a generic B2B profile named `Acme Corp`."
"Look up product ID 'MX-Mouse-001'. Tell me its base price bracket before discounts."
Troubleshooting Pricefx MCP Server with OpenAI Agents SDK
Common issues when connecting Pricefx to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pricefx + OpenAI Agents SDK FAQ
Common questions about integrating Pricefx 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 Pricefx 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 Pricefx to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.