Added MCP support

README.md

@@ -7,8 +7,9 @@ A CLI application that provides AI-powered search and information retrieval usin
 - 🔍 **Web Search**: Powered by SearXNG for comprehensive internet searches
 - 📄 **URL Fetching**: Automatically fetches and converts web pages to clean Markdown
 - 🤖 **Local LLM Support**: Works with any OpenAI-compatible API (Ollama, LM Studio, etc.)
-- 💻 **Simple CLI**: Clean terminal interface for easy interaction
-- ⚙️ **Configurable**: Easy INI-based configuration
+- 🔌 **MCP Support**: Extend capabilities with Model Context Protocol servers
+- <EFBFBD> **Simple CLI**: Clean terminal interface for easy interaction
+- ⚙️ **Configurable**: Easy YAML-based configuration with customizable prompts
 - 🔒 **Privacy-Focused**: All processing happens locally
 
 ## Prerequisites
@@ -50,50 +51,58 @@ Create the config directory and copy the example configuration:
 
 ```bash
 mkdir -p ~/.config
-cp tell-me.ini.example ~/.config/tell-me.ini
+cp tell-me.yaml.example ~/.config/tell-me.yaml
 ```
 
 ### 5. Edit your configuration
 
-Open `~/.config/tell-me.ini` in your favorite editor and configure:
+Open `~/.config/tell-me.yaml` in your favorite editor and configure:
 
-```ini
-[llm]
+```yaml
 # Your LLM API endpoint (e.g., Ollama, LM Studio)
-api_url = http://localhost:11434/v1
+api_url: http://localhost:11434/v1
 
 # Model name to use
-model = llama3.2
+model: llama3.2
 
 # Context window size
-context_size = 16000
+context_size: 16000
 
 # API key (leave empty if not required)
-api_key =
+api_key: ""
 
-[searxng]
 # Your SearXNG instance URL
-url = http://localhost:8080
+searxng_url: http://localhost:8080
+
+# System prompt (customize the AI's behavior)
+prompt: |
+  You are a helpful AI research assistant...
+  (see tell-me.yaml.example for full prompt)
+
+# MCP Server Configuration (optional)
+mcp_servers: {}
+  # Add MCP servers to extend functionality
+  # See MCP section below for examples
 ```
 
 **Example configurations:**
 
 **For Ollama:**
-```ini
-[llm]
-api_url = http://localhost:11434/v1
-model = llama3.2
-context_size = 16000
-api_key =
+```yaml
+api_url: http://localhost:11434/v1
+model: llama3.2
+context_size: 16000
+api_key: ""
+searxng_url: http://localhost:8080
 ```
 
 **For LM Studio:**
-```ini
-[llm]
-api_url = http://localhost:1234/v1
-model = your-model-name
-context_size = 16000
-api_key =
+```yaml
+api_url: http://localhost:1234/v1
+model: your-model-name
+context_size: 16000
+api_key: ""
+searxng_url: http://localhost:8080
 ```
 
 ## Usage
@@ -129,6 +138,37 @@ The AI will:
 
 Type `exit` or `quit` to exit the application, or press Ctrl-C.
 
+## MCP (Model Context Protocol) Support
+
+Tell-Me supports the [Model Context Protocol](https://modelcontextprotocol.io/), allowing you to extend the AI assistant's capabilities with additional tools from MCP servers.
+
+### Supported MCP Servers
+
+Tell-Me supports **stdio-based MCP servers** (local command execution). Remote SSE-based servers are not supported for security reasons.
+
+### Configuration
+
+Add MCP servers to your `~/.config/tell-me.yaml`:
+
+```yaml
+mcp_servers:
+  # Example: Filesystem access
+  filesystem:
+    command: /usr/local/bin/mcp-server-filesystem
+    args:
+      - --root
+      - /path/to/allowed/directory
+    env:
+      LOG_LEVEL: info
+  
+  # Example: Weather information
+  weather:
+    command: /usr/local/bin/mcp-server-weather
+    args: []
+    env:
+      API_KEY: your-weather-api-key
+```
+
 ## How It Works
 
 1. **User asks a question** - You type your query in the terminal
@@ -141,17 +181,19 @@ Type `exit` or `quit` to exit the application, or press Ctrl-C.
 
 ```
 tell-me/
-├── main.go              # Main application entry point
+├── main.go               # Main application entry point
 ├── config/
-│   └── config.go        # Configuration loading from INI file
+│   └── config.go         # Configuration loading from YAML file
 ├── llm/
-│   └── client.go        # OpenAI-compatible API client with tool calling
+│   └── client.go         # OpenAI-compatible API client with tool calling
+├── mcp/
+│   └── manager.go        # MCP server connection and tool management
 ├── tools/
-│   ├── search.go        # SearXNG web search implementation
-│   └── fetch.go         # URL fetching and HTML-to-Markdown conversion
-├── go.mod               # Go module dependencies
-├── tell-me.ini.example  # Example configuration file
-└── README.md            # This file
+│   ├── search.go         # SearXNG web search implementation
+│   └── fetch.go          # URL fetching and HTML-to-Markdown conversion
+├── go.mod                # Go module dependencies
+├── tell-me.yaml.example  # Example YAML configuration file
+└── README.md             # This file
 ```
 
 ## License