Can the AI automatically assemble the correct JSON format for creating quotes?

Yes, perfectly. By calling `create_quote`, you simply tell the AI: "Make a quote for customer 105 for product XYZ". It understands Pricefx schemas and writes the robust JSON mapping necessary to fulfill the API logic.

Does the server handle Pricefx partitioned clusters natively?

Yes. Pricefx securely isolates environments based on `Cluster` (e.g., `eu1`, `us1`) and `Partition` names. Our server intrinsically limits the AI to operate strictly within the bounds you configure.

If a quote creation fails due to business rules, will the AI tell me why?

Absolutely. If the CPU logic returns a rejection—like a discount violating a minimum margin—the AI extracts the raw API traceback identifying the specific pricing constraint that halted generation.

Pricefx MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Pricefx
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Pricefx as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="pricefx_agent",
            tools=tools,
            system_message=(
                "You help users with Pricefx. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Pricefx tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Live Catalog & Pricing — Search deep into the fetch_products logic to find base SKUs, and evaluate their explicit Price Math limits via get_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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Pricefx MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Pricefx automatically

Why Use AutoGen with the Pricefx MCP Server

AutoGen provides unique advantages when paired with Pricefx through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Pricefx tools to solve complex tasks

Role-based architecture lets you assign Pricefx tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Pricefx tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Pricefx tool responses in an isolated environment

Pricefx + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Pricefx MCP Server delivers measurable value.

Collaborative analysis: one agent queries Pricefx while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Pricefx, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Pricefx data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Pricefx responses in a sandboxed execution environment

Pricefx MCP Tools for AutoGen (10)

These 10 tools become available when you connect Pricefx to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Pricefx to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Pricefx + AutoGen FAQ

Common questions about integrating Pricefx MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Pricefx tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.