Upload README.md

README.md

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+---
+title: MCP Server
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: docker
+app_file: app.py
+pinned: false
+---
+
+# MCP Server
+
+This is a Multi-tool Chatbot Platform (MCP) server built with FastAPI, designed to be deployed on Hugging Face Spaces.
+
+## Features
+
+- **Calculator:** Perform basic arithmetic operations (sum, multiply, subtract, divide).
+- **Email Drafter:** Draft emails based on your prompts using Google Gemini LLM.
+- **PDF Q&A:** Upload a PDF and ask questions about its content, powered by Google Gemini LLM and Qdrant vector store.
+- **Code Inspector:** Check Python code for syntax, logical errors, and best practices using Google Gemini LLM.
+
+## How to use (Local)
+
+1.  **Clone the repository:**
+    ```bash
+    git clone <repository_url>
+    cd mcp-all
+    ```
+2.  **Create a virtual environment and activate it:**
+    ```bash
+    python -m venv venv
+    ./venv/Scripts/activate  # On Windows
+    source venv/bin/activate # On macOS/Linux
+    ```
+3.  **Install dependencies:**
+    ```bash
+    pip install -r requirements.txt
+    ```
+4.  **Set up Gemini API Key:**
+    Obtain a Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
+    Set it as an environment variable named `GEMINI_API_KEY`.
+    On Windows:
+    ```bash
+    set GEMINI_API_KEY=YOUR_API_KEY
+    ```
+    On macOS/Linux:
+    ```bash
+    export GEMINI_API_KEY=YOUR_API_KEY
+    ```
+5.  **Run the server:**
+    ```bash
+    python app.py
+    ```
+    The server will run on `http://0.0.0.0:7860`. Open your browser and go to `http://localhost:7860` to interact with the UI.
+
+## How to use (Docker)
+
+1.  **Build the Docker image:**
+    ```bash
+    docker build -t mcp-server .
+    ```
+2.  **Run the Docker container:**
+    ```bash
+    docker run -d -p 7860:7860 --env GEMINI_API_KEY=YOUR_API_KEY mcp-server
+    ```
+    Replace `YOUR_API_KEY` with your actual Gemini API key. The server will be accessible at `http://localhost:7860`.
+
+## How to use (Hugging Face Spaces)
+
+This project is configured for direct deployment on Hugging Face Spaces. Simply create a new Space, select "Docker" as the SDK, and link this repository. Ensure you add your `GEMINI_API_KEY` as a Space Secret in Hugging Face.
+
+Once deployed, you can interact with the MCP server directly from your Hugging Face Space URL.
+
+## Tool Usage Examples
+
+- **Calculator:** "sum 10 and 5", "multiply 4 by 6", "subtract 20 from 8", "divide 100 by 10"
+- **Email Drafter:** "draft an email to John about meeting next week regarding project X."
+- **PDF Q&A:** Upload a PDF file and then type your question in the prompt.
+- **Code Inspector:** "check code: print('Hello')\n  print('World')"