Pricefx

Pricefx MCP Connector for Claude

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Equip your AI with advanced enterprise CPQ capabilities — fetch products, manage customers, and generate automated pricing quotes directly via chat.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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.

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)

How it works

  1. Subscribe to this MCP server
  2. Provide your Pricefx Cluster, Partition Name, and active JWT Token
  3. Engage Claude, Cursor, or any compatible client to navigate the Pricing Engine natively

Forget executing long, structured JSON payloads through Postman. Just tell your AI: 'Create a new Quote for Customer XYZ with Product 123'. The agent handles the structural formatting and API syntax inherently.

Who is this for?

  • Pricing Managers — instantly check live Price Grids or simulate logic without waiting for heavy partition dashboards to load
  • Backend Devs — test dynamic JSON payloads for Quote generation interacting intuitively to build headless frontends
  • Sales Engineers — quickly pull the math trace behind a specific Quote ID during high-pressure B2B negotiations
cpqpricing-optimizationmargin-analysisb2b-salesquote-generationdynamic-pricing

10 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using Pricefx.

Can you fetch all our active Quotes and find any that are still in Draft status?

Querying `fetch_quotes`. I found 35 recent quotes mapped in your partition. Exactly 4 of them are flagged as `DRAFT`. Quote IDs `Q-990` and `Q-991` belong to Customer 105, indicating stalled approvals in their pipeline.

We need to create a new customer record manually. Give me the JSON for a generic B2B profile named `Acme Corp`.

I've structured the payload and fired `create_customer`. The array injected `{"customerId": "ACM-001", "name": "Acme Corp", "status": "ACTIVE"}` mapping natively into the CPQ core. The partition confirms success, generating internal Pricefx node ID 8841.

Look up product ID 'MX-Mouse-001'. Tell me its base price bracket before discounts.

Using `get_product` to hit the Pricing Gateway natively. For `MX-Mouse-001`, the specific arrays return a base ceiling of `49.99 USD`. The explicit attribute tree dictates no hard floor restrictions for Tier-1 Accounts.

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.

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