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Pricefx MCP, Ready to Go

Use the Pricefx MCP to let your AI agents build B2B quotes, audit pricing math, and manage customer records directly in Claude or Cursor.

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Generate B2B quotes and manage pricing grids through natural language.

Pricefx MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Pricefx Connector?

1013ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 813ms
Average 1013ms
Max 1719ms
Trend (improving) ↓ 8%
Daily latency
1719ms 7/12/2026
1223ms 7/13/2026
1002ms 7/14/2026
1022ms 7/15/2026
993ms 7/16/2026
923ms 7/17/2026
866ms 7/18/2026
1019ms 7/19/2026
1161ms 7/20/2026
1077ms 7/21/2026
1005ms 7/22/2026
813ms 7/23/2026
1042ms 7/24/2026
1043ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Pricefx: 10 Tools for B2B Pricing

Use these tools to let your AI agent build quotes, manage customers, and audit pricing math within Pricefx.

Fetch customers

Find specific CRM records within your Pricefx platform. Use this to identify active accounts quickly.

Fetch products

List all active pricing catalog items and their rules. This helps you see what's available in your catalog.

Fetch quotes

See all active quote arrays across your gateway. Use this to get a bird's eye view of your quotes.

Get customer

Pull specific properties for an active account. This is useful for seeing the data driving a customer's logic.

Get product

See the specific price limits and logs for a product. Use this to check base ceilings and floor restrictions.

Get quote

Check the validation history for a specific quote ID. This helps you see why a quote failed its check.

Update customer

Update customer data and plan math in bulk. This lets you apply changes across multiple records at once.

Create customer

Create a new customer record with a JSON payload. This provisions a new customer binding in your system.

Create quote

Generate a new quote with the correct structural matching. Tell your agent the details and it builds the quote.

Delete quote

Permanently remove a draft quote from your partition. Use this to clean up your workspace of old drafts.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Pricefx MCP for Faster B2B Quote Generation

This is for the pricing and sales ops teams who are tired of clicking through heavy dashboards to find simple answers or build quotes during live calls.

Pricing Manager

Uses the Connector to quickly check live price grids and simulate math without waiting for heavy dashboards to load.

Sales Engineer

Pulls the math trace behind a specific quote ID during high-pressure B2B negotiations to explain pricing to a client.

Backend Developer

Tests dynamic JSON payloads for quote generation by interacting with the pricing engine intuitively.

Frequently Asked Questions

Does the Pricefx MCP support B2B quote generation? +

Yes, it specifically handles B2B quote generation. Your agent can build dynamic quotes from scratch using natural language, handling all the complex structural requirements of the Pricefx engine automatically.

Can I use the Pricefx MCP with Claude or Cursor? +

Absolutely. This Connector is designed to work with any compatible client, including Claude, Cursor, and Windsurf, giving your AI agent direct access to your pricing data.

Is it possible to update customer records using this Connector? +

Yes, you can use it to update customer records. This includes updating plan math and other customer attributes without having to manually navigate the Pricefx dashboard.

How does the Pricefx MCP handle pricing math traces? +

It allows your agent to pull the exact math trace for any specific quote. This is incredibly helpful for troubleshooting why a quote failed or verifying the logic behind a complex price.

Can I delete old quotes using the Pricefx MCP? +

Yes, you can use the Connector to permanently remove draft quotes from your partition. This helps keep your workspace clean and ensures you're only looking at relevant, active data.

Is my Pricefx data secure when using this Connector? +

The Connector uses your existing Pricefx credentials, including your Cluster, Partition, and JWT Token. Your data stays within your secure Pricefx environment, and the agent only accesses what your permissions allow.

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.

Your AI, connected to everything.

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