MCP File Reader

A fully local, free AI-powered file reader that uses MCP (Model Context Protocol) to connect a Python tool server with a local LLM (Ollama + Mistral). No API keys, no cloud, no cost — runs entirely on your machine.

🧾 Features

• MCP Server with custom tools (list_files, read_file)

• Local LLM integration via Ollama (Mistral / Llama3.2)

• Automatic file discovery and content reading

• AI-powered summarization of file contents

• Path traversal protection (security built-in)

• Zero cost — no API keys or subscriptions required

🛠️ Tech Stack

📦 Installation

git clone https://github.com/JaneKarunyaJ/MCP-File-Reader.git
cd MCP-File-Reader
pip install mcp requests

Install Ollama from https://ollama.com, then pull the model:

ollama pull mistral

🚀 Usage

Make sure Ollama is running (it starts automatically after installation), then:

python client.py

The client will:

1. Launch the MCP server as a subprocess

2. Call list_files to discover files in my_files/

3. Call read_file for each file found

4. Send the real content to Mistral for summarization

📁 Project Structure

MCP-File-Reader/
│
├── server.py          # MCP server — exposes list_files and read_file tools
├── client.py          # MCP client — calls tools and queries Ollama
├── requirements.txt   # Python dependencies
└── my_files/          # Folder the AI is allowed to read
    ├── project_ideas.txt
    └── wishlist.txt

🔐 Security

• The MCP server only allows reads from the my_files/ directory

• Path traversal attacks (e.g. ../../etc/passwd) are automatically blocked

• No data leaves your machine — fully offline after setup

🧠 How It Works

client.py
   │
   ├── Step 1: Calls MCP tool → list_files()
   │              ↓
   │         Returns filenames from my_files/
   │
   ├── Step 2: Calls MCP tool → read_file(filename)
   │              ↓
   │         Returns actual file contents
   │
   └── Step 3: Sends real content to Ollama (Mistral)
                  ↓
             Returns AI summary

➕ Extending the Project

• Add your own files: Drop any .txt file into my_files/ and run again

• Add new tools: Add a new tool handler in server.py (e.g. search_in_file, write_file)

• Change the question: Edit user_question in client.py to ask anything about your files

• Swap the model: Change MODEL = "mistral" in client.py to any model you have pulled in Ollama

📋 Requirements

• Python 3.9+

• Ollama installed (ollama.com)

• Mistral model pulled (ollama pull mistral)

• mcp and requests Python packages