Monetized Mcp Sample

2 MIT

FreeCommunity

AI Systems

A sample project demonstrating monetization features using MCP Server.

What is Monetized Mcp Sample

monetized-mcp-sample is a sample project designed to demonstrate the capabilities of the MCP server in monetizing PDF documents.

Use cases

Use cases include selling e-books, providing premium educational materials, and offering subscription-based access to research papers.

How to use

To use monetized-mcp-sample, clone the repository, set up the necessary environment, and follow the instructions in the README to configure and run the server.

Key features

Key features include PDF monetization, user authentication, and analytics for tracking document usage and revenue generation.

Where to use

monetized-mcp-sample can be used in industries such as publishing, education, and any sector that requires monetization of digital documents.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Monetized Mcp Sample

monetized-mcp-sample is a sample project designed to demonstrate the capabilities of the MCP server in monetizing PDF documents.

Use cases

Use cases include selling e-books, providing premium educational materials, and offering subscription-based access to research papers.

How to use

To use monetized-mcp-sample, clone the repository, set up the necessary environment, and follow the instructions in the README to configure and run the server.

Key features

Key features include PDF monetization, user authentication, and analytics for tracking document usage and revenue generation.

Where to use

monetized-mcp-sample can be used in industries such as publishing, education, and any sector that requires monetization of digital documents.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

mcp-monetized-pdfshift

This is a reference implementation of a MonetizedMCP server.

To explore it live, check out the “Getting Started” section on the Fluora website.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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