Core Product MCP MCP Server for Your Ai Agent

By Your Company
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MCP server for authenticated customers to access and operate product's core functionality, including account management, service operations, and real-time analytics.

Available Tools

Give your Ai apps access to tools via MCP's standardized format.

Get Account Overview

Retrieve details about the customer's account, including subscription information, usage statistics, and service status.

Update Account Settings

Allow authenticated customers to update their account preferences and settings.

Fetch Service Data

Fetch real-time data and analytics from core service modules for the authenticated customer.

Trigger Service Action X

Initiate key product operations on behalf of the customer.

What Is This MCP?

The Core Product MCP is a suggested MCP server you can build that uses the Model Context Protocol to give authenticated customers secure access to your product’s essential features.

This server can be used by agents within your own AI chat experiences, general-purpose tools like Claude, or AI coding assistants like Cursor or Windsurf to let customers query, operate, and monitor their account and service data.

It helps existing customers by providing tools like get_account_overview for reviewing account and subscription details, update_account_settings to modify preferences, fetch_service_data to access live analytics, and trigger_service_action_x to initiate key product operations—all from their AI tools.

This MCP helps make your core product accessible via natural language wherever customers already work, enabling automation, real-time insights, and streamlined support.

How Can I Use This MCP?

This MCP connects AI agents to tools or data. It can be used in your own app or inside tools like Claude, Cursor, or Windsurf.

Who Builds the MCP?

  • You build the MCP for your product
  • An existing MCP built by the Model Context Protocol team, third-party product teams (e.g., Perplexity, Neo4j, Supabase) or the MCP community (though your devs can modify it if needed)

Who Uses the MCP?

  • Your customers
  • Your prospects
  • Your team members
  • AI systems behind the scenes (e.g., automated workflows)

Where Is the MCP Used?

  • In an Ai app, assistant, agent or workflow you build
  • In a 3rd-party AI tool like Claude, Cursor, or Windsurf

How Are MCPs Enabled?

  • Via developers, with or without using Ai frameworks like OpenAI Agents SDK, Mastra or LangGraph
  • Via app users by enabling MCPs within their Ai apps like Claude, Cursor, Windsurf or your Ai app

Who This MCP Tool Is For

Go-To-Market Pros

You want inspiration for ways your team can add capabilities and tools to your go-to-market Ai agents.

Ai Builders

You want inspiration for ways to add capabilities and tools to your Ai agents.

CEOs, COOs, Marketers, Salespeople, PMs and Customer Success Pros

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.

What Are MCPs?

Model Context Protocol (MCP) is an open standard for giving Ai such as LLMs access to external tools and resources. It allows developers and users to create reusable, interoperable components that can be used across different AI applications and agents.

You can use MCPs to connect Ai apps to product data, tools, and workflows, whether you build the MCP yourself or use one from a third party. MCPs can power your own Ai apps or work inside Ai popular apps like Claude, Cursor, or Windsurf, enabling access for your team, customers, or Ai systems behind the scenes.

Ask Pathdraft Ai agent to plan your next (or first 👊) Ai agents

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1. Call (813) 906-1084 2. Chat with Pathdraft Ai agent 3. Agent emails your agent plan
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