MCP server that estimates pricing that is extremely specific to your business and the potential customer's needs, based on input criteria like usage, plan and customer requirements.
Give your Ai agent access to a collection of tools via MCP's standardized format.
Calculate an estimated price based on input criteria.
Retrieve frequently asked questions related to pricing.
Pricing Estimator MCP provides a reliable interface for AI agents to quickly calculate pricing estimates for your products using real-time input data. This MCP server is built to reduce the complexity of pricing calculations by standardizing the process within a consistent protocol.
It exposes two principal tools: estimate_price, which computes a price estimate based on parameters such as seat count, usage, and plan type, and get_pricing_faq, which provides users with answers to common pricing questions. Each tool is crafted to offer clear and concise functionality that agents can readily incorporate.
By employing these capabilities, agents-either yours or others-can deliver instant pricing insights and support smoother sales conversations.
Ai builders can use existing MCPs to give their agents access to external tools and resources. They can also build their own MCPs to give their agents - and optionally others - access to internal tools and resources.
A third-party MCP server is provided by an external developer that exposes the functionality of services or tools created by orgas outside of your organization—such as Airtable, Perplexity, Postgres or similar—through the MCP standard.
Using a third-party MCP server within agents that you build means that your agents are immediately empowered with access to these external services—with minimal development and maintainence of custom integrations.
Typically, this means that your company authorizes agents that you build to interact with your organization's accounts on these platforms (for example, your company's Airtable account, or your company's data stored in Postgres databases) rather than your end users' accounts.
Another use for these 3rd-party MCP servers may be that your team members add them to MCP client apps like Anthropic's Claude general AI app or the Cursor coding app.
You want inspiration for ways your team can add capabilities and tools to your go-to-market Ai agents.
You want inspiration for ways to add capabilities and tools to your Ai agents.
You want inspiration for ways your team can add capabilities and tools to the Ai agents that affect the stage of the customer journey you're focused on.
Model Context Protocol (MCP) is an open standard for giving Ai such as LLMs access to external tools and resources. It allows developers to create reusable, interoperable components that can be used across different AI applications and agents.
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