Zilliant MCP Server connects MCP-capable AI clients like ChatGPT or Claude to your existing Zilliant pricing data and intelligence. Ask questions in natural language and get structured, explainable answers—backed by Zilliant data and logic directly in the AI tools you already use.
Zilliant MCP Server is designed to help you access trusted Zilliant information without exporting files or building a custom integration. It provides secure, governed, read-only access to data already in your Zilliant tenant.
Why use Zilliant MCP Server
Zilliant MCP Server helps you bring pricing intelligence into your daily workflow. Instead of switching tools, exporting spreadsheets, or asking someone else to pull data, you can work directly from your AI assistant.
With Zilliant MCP Server, you can:
Answer questions faster
Get answers to common pricing questions in less time by querying your Zilliant data directly from an AI client.
Reduce routine escalations
Resolve straightforward pricing questions without always involving analysts, pricing operations, or leadership.
Move faster from question to insight
Use existing data to investigate pricing questions, compare records, and understand what changed.
Improve consistency
Use the same trusted source of pricing information and repeatable prompt patterns across teams.
Work in your existing AI workflow
Access Zilliant pricing intelligence from the enterprise AI tools your company already uses.
What Zilliant MCP Server provides
Zilliant MCP Server provides secure access to existing Zilliant resources and pricing data from MCP-capable AI clients.
Key capabilities include:
Authenticated access to your Zilliant tenant from supported MCP-capable clients
Tenant-scoped access that keeps each customer’s data isolated
Read-only querying of your existing Zilliant resources and pricing records
Natural-language access to existing data
Logged and auditable interactions
Monitoring and baseline onboarding support
What you can do with Zilliant MCP Server
Use Zilliant MCP Server for a range of pricing and data-discovery tasks, such as:
Price explanation
Scenario | What to do | What you get |
|---|---|---|
You want to explain a quoted or recommended price and the drivers behind it. You need a clear, evidence-based, and consistent explanation you can share with customers or internal stakeholders. | In your AI assistant, ask something like: | An evidence-based price explanation with the primary drivers and supporting data. Use it to answer stakeholder questions faster and reduce back-and-forth. |
Exception or anomaly deep dive
Scenario | What to do | What you get |
|---|---|---|
You notice a quote, deal, or customer segment behaving differently than expected. You need to quickly understand what changed, what caused the outlier, and whether you need to act or escalate. | In your AI assistant, ask something like: | Relevant context and comparisons of the outlier to expected and historical behavior. Use it to review potential drivers, such as pricing overrides, discounting patterns, cost changes, product mix, customer conditions, competitive pressure, and policy guardrails. Decide whether to take corrective action or escalate the issue, providing evidence that explains what caused the quote or segment to behave differently. |
Pricing decision support
Scenario | What to do | What you get |
|---|---|---|
You want to monitor pricing performance over time and spot changes that could impact margin or revenue. You need a consistent way to see what shifted and what needs attention. | In your AI assistant, ask something like: | Visibility into month-over-month changes across prices, costs, volume, discounting, win rates, and margin. Use it to compare segments, regions, products, and customers to pinpoint where performance moved and why. Highlight the key changes, the likely drivers behind them, and specific products, customers, or segments that need follow-up. |
How Zilliant MCP Server works
Zilliant MCP Server sits between your MCP client and Zilliant backend services.
At a high level, a request follows this path:
You enter a prompt in your MCP client, such as ChatGPT or Claude.
The client sends the request to Zilliant MCP Server.
Zilliant MCP Server calls Zilliant backend services to retrieve information.
Zilliant MCP Server returns a structured response to your MCP client.
Authentication and access
Zilliant MCP Server uses OAuth with Salesforce 
as the identity provider.
Zilliant provisions a tenant-specific URL and authentication configuration for your environment. Access is scoped to your tenant and tied to your authenticated session.
This supports:
Tenant isolation
Tenant-specific routing
Auditable access
Controlled connection from your AI client to your Zilliant environment
Data processing and storage
Zilliant MCP Server retrieves data from Zilliant backend services and returns the results to your chosen AI client.
Zilliant stores authentication and session state needed to support the connection. Your company chooses which AI provider to use through its MCP client. Your AI provider may process prompts and results according to that provider’s own settings and policies. Make sure that your AI provider settings align with your internal policies.
Shared responsibilities
Zilliant and your company share responsibility for secure and effective use of Zilliant MCP Server.
Zilliant is responsible for:
Provisioning and hosting the MCP Server in Zilliant infrastructure
Securing the server deployment
Enforcing tenant isolation
Providing logging and auditable interaction records
Supporting baseline onboarding and connection guidance
Your company is responsible for:
Choosing the AI provider and MCP client used in your environment
Configuring and governing access to that client
Protecting secrets and credentials, such as OAuth client credentials
Completing internal security, risk, and compliance reviews
Confirming that AI provider settings align with your internal policies
Assigning an admin owner for setup and connection management
Getting started
To use Zilliant MCP Server, you need:
A Zilliant customer tenant with MCP access enabled
An MCP-capable AI client, such as ChatGPT, Claude, or other compatible tool
Tenant-specific connection details from Zilliant
Once you have these details, you can connect Zilliant MCP Server to your MCP client, complete OAuth authorization, and verify the connection with basic queries. For details, read Get started with Zilliant MCP Server.