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🚀 MCP File System API

Source

MCP implementation code that sets up the server, integrates the LLaMA model for summarization, and serves it via a Flask application.

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Overview

Model-Context-Protocol (MCP) is an implementation code designed to set up a server that integrates the LLaMA model for text summarization and provides its functionality through a Flask application.

To use MCP, clone the GitHub repository, set up the server environment, and run the Flask application to access the summarization features of the LLaMA model.

  • Integration with the LLaMA model for accurate text summarization - A Flask-based web application for easy access - Simple server setup instructions for developers
  1. Automating the summarization of large texts for content creators.
  2. Enhancing productivity by quickly generating summaries for research papers.
  3. Developing applications that require concise data interpretation and reporting.

Add to your AI client

Use these steps to connect 🚀 MCP File System API in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "model-context-protocol-vijayk-213": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "model-context-protocol-vijayk-213": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "model-context-protocol-vijayk-213": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "model-context-protocol-vijayk-213": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "model-context-protocol-vijayk-213": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "model-context-protocol-vijayk-213": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-model-context-protocol-vijayk-213"
      ]
    }
  }
}

FAQ

What is the purpose of this project?

The project aims to facilitate text summarization using advanced AI models in a convenient Flask application.

Do I need special access to use MCP?

No! The software is open source and can be freely used by anyone.

Can MCP handle multiple requests simultaneously?

Yes, it is designed to manage multiple requests effectively as per Flask capabilities.

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