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 Google ADK 10 tools — connect in under 2 minutes

Name: Pricefx
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Pricefx as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="pricefx_agent",
    instruction=(
        "You help users interact with Pricefx "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Pricefx as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Pricefx MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Pricefx via MCP

Why Use Google ADK with the Pricefx MCP Server

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

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Pricefx

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Pricefx tools with BigQuery, Vertex AI, and Cloud Functions

Pricefx + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Pricefx and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Pricefx tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Pricefx regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Pricefx

Pricefx MCP Tools for Google ADK (10)

These 10 tools become available when you connect Pricefx to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Pricefx + Google ADK FAQ

Common questions about integrating Pricefx MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.