diff --git a/docs/MCP_GUIDE.md b/docs/MCP_GUIDE.md
index 3621e98..5c749f6 100644
--- a/docs/MCP_GUIDE.md
+++ b/docs/MCP_GUIDE.md
@@ -1,10 +1,34 @@
 # Dive MCP Server: Comprehensive Guide
 
-This guide provides detailed instructions on how to run the `dive` Model Context Protocol (MCP) server and connect various clients to it. The MCP integration allows AI agents to programmatically perform deep container image analysis.
+This guide provides detailed instructions on how to build and run the `dive` Model Context Protocol (MCP) server and connect various clients to it.
 
 ---
 
-## 1. Running the Dive MCP Server
+## 1. Building the Server
+
+Before running the MCP server, you need to build the `dive` binary from source to ensure you have the latest MCP features.
+
+### Prerequisites
+- **Go**: Version 1.24 or higher.
+- **Task** (Optional): A task runner for simplified builds.
+
+### Standard Build (Recommended)
+If you have `task` installed:
+```bash
+# Build the binary for your local platform
+task build-local
+```
+The binary will be created at `./dive`.
+
+### Manual Build
+Alternatively, use the standard Go compiler:
+```bash
+go build -o dive ./cmd/dive
+```
+
+---
+
+## 2. Running the Dive MCP Server
 
 The `dive` binary includes a built-in MCP server. You can run it using the `mcp` subcommand.
 
@@ -39,7 +63,7 @@ dive mcp --transport sse --port 8080
 
 ---
 
-## 2. Connecting MCP Clients
+## 3. Connecting MCP Clients
 
 ### Claude Desktop
 Add `dive` to your `claude_desktop_config.json` (usually found in `%APPDATA%\Claude\claude_desktop_config.json` on Windows or `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS).
@@ -86,7 +110,7 @@ mcpServers:
 
 ---
 
-## 3. Available Tools & Capabilities
+## 4. Available Tools & Capabilities
 
 Once connected, your AI agent will have access to the following tools:
 
@@ -104,7 +128,7 @@ Agents can also "read" analysis results via URI:
 
 ---
 
-## 4. Powerful Usage Examples
+## 5. Powerful Usage Examples
 
 Once the server is connected, you can use natural language prompts to perform complex analysis. Here are a few examples of what you can ask your AI agent:
 
@@ -125,7 +149,7 @@ Once the server is connected, you can use natural language prompts to perform co
 
 ---
 
-## 5. Security & Performance Tuning
+## 6. Security & Performance Tuning
 
 ### Security Sandbox
 To prevent the AI from accessing arbitrary tarballs on your host, use the sandbox flag to restrict `docker-archive` lookups:
@@ -150,7 +174,7 @@ mcp:
 
 ---
 
-## 5. Troubleshooting: "Missing sessionId"
+## 7. Troubleshooting: "Missing sessionId"
 If you encounter a `Missing sessionId` error when using SSE, ensure you are providing the `Mcp-Session-Id` header in your HTTP requests. 
 
 **Recommendation:** Switch to the `streamable-http` transport and use the `/mcp` endpoint, which handles session negotiation automatically during the initial handshake.