# MCP Chat

MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.

## Prerequisites

- Python 3.9+
- Anthropic API Key

## Setup

### Step 1: Configure the environment variables

1. Create or edit the `.env` file in the project root and verify that the following variables are set correctly:

```
ANTHROPIC_API_KEY=""  # Enter your Anthropic API secret key
```
See if u have python installed
Step 1 — Get an API key:

Go to console.anthropic.com
Sign in (or create an account)
Go to API Keys in the left sidebar
Click Create Key, give it a name, and copy it
Step 2 — Paste it in .env
open the .env file at /Users/akritiagrawal/Downloads/cli_project/.env and replace the empty quotes on line 2 with your key. It should look like:
env:\ANTHROPIC_API_KEY="sk-ant-api03-xxxxxxxxxxxxx"

### Step 2: Install dependencies

#### Option 1: Setup with uv (Recommended)

[uv](https://github.com/astral-sh/uv) is a fast Python package installer and resolver.

1. Install uv, if not already installed:

```bash
brew install uv
```

```bash
pip install uv
```

2. Create and activate a virtual environment:

```bash
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
```

3. Install dependencies:

```bash
uv pip install -e .
```

4. Run the project

```bash
uv run main.py
```

#### Option 2: Setup without uv

1. Create and activate a virtual environment:

```bash
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
```

2. Install dependencies:

```bash
pip install anthropic python-dotenv prompt-toolkit "mcp[cli]==1.8.0"
```

3. Run the project

```bash
python main.py
```

## Usage

### Basic Interaction

Simply type your message and press Enter to chat with the model.

### Document Retrieval

Use the @ symbol followed by a document ID to include document content in your query:

```
> Tell me about @deposition.md
```

### Commands

Use the / prefix to execute commands defined in the MCP server:

```
> /summarize deposition.md
```

Commands will auto-complete when you press Tab.

## Development

### Adding New Documents

Edit the `mcp_server.py` file to add new documents to the `docs` dictionary.

To run MCP Inspector server: 
run 
``` bash
mcp dev mcp_server.py
```
The mcp dev command launches the MCP Inspector — a web-based testing UI where you can interact with your MCP server without needing API credits. It lets you test your tools, resources, and prompts visually.

To run it:
```bash
uv run mcp dev mcp_server.py
```
Note the uv run prefix — you need it so the dependencies are available.

This will open a browser UI (usually at http://localhost:5173) where you can:

See all your tools and call them manually
Browse your resources
Test your prompts

### Implementing MCP Features

To fully implement the MCP features:

1. Complete the TODOs in `mcp_server.py`
2. Implement the missing functionality in `mcp_client.py`

### Linting and Typing Check

There are no lint or type checks implemented.