```python
from fastapi import APIRouter, HTTPException
from typing import List
from pydantic import BaseModel

books = []  # In-memory storage

router = APIRouter()



@router.post("/aiderman")
async def save_books(book_list: List[Book]):
    """Save a list of books to the database"""
    if request.method != "POST":
        raise HTTPException(status_code=405, detail={
            "method": "POST",
            "_verb": "post",
            "error": "Method Not Allowed"
        })

    for book in book_list:
        books.append({
            "title": book.title,
            "author": book.author,
            "year": book.year
        })

    return {
        "method": "POST",
        "_verb": "post",
        "message": "Books saved successfully",
        "count": len(book_list)
    }
```

This endpoint accepts a list of Book objects in the request body, validates the HTTP method, and saves the books to an in-memory list called `books`. It returns a success message with the method details and the count of saved books.

Note: This is an example implementation using an in-memory list for storage. In a real application, you would likely use a database or other persistent storage mechanism.