MCP server for agents to query product information and return product details, features, integrations, multimedia assets and other relevant information.
Give your Ai agent access to a collection of tools via MCP's standardized format.
Search your product data using keywords related to product features, integrations, case studies and other relevant information.
Retrieve detailed product information based on a unique product identifier.
List available product categories to help filter and navigate public B2B product offerings.
Product InfoFor Buyers MCP leverages the Model Context Protocol to empower Ai agents with the ability to query your comprehensive B2B product information.
This MCP provides detailed data on available products, how it helps specific types of customers, FAQs, product features, integrations, and multimedia assets such as images and videos.
The available tools include search_products_by_keyword, which enables agents to quickly search for products based on relevant keywords; get_product_by_id, which fetches in-depth information about a specific product using a unique identifier; and list_product_categories, which organizes products into categories for easier navigation.
By integrating these tools, agents can supply highly contextual and accurate responses to user queries about public B2B product offerings, thereby enhancing decision-making and market understanding.
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.
Craft an Ai automation or agent plan, just for your b2b. Simple. The first step in automating across your buyer and customer journeys: inspiration for what to build. Talk with an Ai agent via your phone to quickly create your custom Ai agent plan.