feat: complete redesign to v2.4.0 - Claude's ultimate development partner

Major redesign of Gemini MCP Server with modular architecture:

- Removed all emoji characters from tool outputs for clean terminal display
- Kept review category emojis (🔴🟠🟡🟢) per user preference
- Added 4 specialized tools:
  - think_deeper: Extended reasoning and problem-solving (temp 0.7)
  - review_code: Professional code review with severity levels (temp 0.2)
  - debug_issue: Root cause analysis and debugging (temp 0.2)
  - analyze: General-purpose file analysis (temp 0.2)
- Modular architecture with base tool class and Pydantic models
- Verbose tool descriptions with natural language triggers
- Updated README with comprehensive examples and real-world use cases
- All 25 tests passing, type checking clean, critical linting clean

BREAKING CHANGE: Removed analyze_code tool in favor of specialized tools

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

utils/token_utils.py

@@ -0,0 +1,20 @@
+"""
+Token counting utilities
+"""
+
+from typing import Tuple
+from config import MAX_CONTEXT_TOKENS
+
+
+def estimate_tokens(text: str) -> int:
+    """Estimate token count (rough: 1 token ≈ 4 characters)"""
+    return len(text) // 4
+
+
+def check_token_limit(text: str) -> Tuple[bool, int]:
+    """
+    Check if text exceeds token limit.
+    Returns: (is_within_limit, estimated_tokens)
+    """
+    estimated = estimate_tokens(text)
+    return estimated <= MAX_CONTEXT_TOKENS, estimated