Certainly! Here is a test case generator for the given Knapsack problem with limitations:

```python
import random

def tcgen():
    # Constraints
    N = random.randint(1, 100)  # Number of items
    W = random.randint(1, 10000)  # Capacity of the knapsack
    
    items = []
    for _ in range(N):
        v = random.randint(1, 1000)  # Value of item
        w = random.randint(1, 1000)  # Weight of item
        m = random.randint(1, 10000)  # Limitation of item
        items.append((v, w, m))
    
    return N, W, items

# Example usage
N, W, items = tcgen()
print(N, W)
for item in items:
    print(item[0], item[1], item[2])
```

### Explanation
- **N**: Number of items, randomly chosen between 1 and 100.
- **W**: Capacity of the knapsack, randomly chosen between 1 and 10,000.
- **items**: List of tuples where each tuple contains:
  - **v**: Value of the item, randomly chosen between 1 and 1,000.
  - **w**: Weight of the item, randomly chosen between 1 and 1,000.
  - **m**: Limitation on the number of that item, randomly chosen between 1 and 10,000.

This generator will create a variety of test cases within the constraints provided by the problem statement. You can use this to generate multiple test cases to thoroughly test your solution to the problem.