Let $(\Omega, \mathcal{F},ℙ)$ be a measure space and $X:\Omega\to ℝ$ be a random variable.
By definition we have
$$
g(t):=\mathbb E[e^{tX}]=\int_\Omega e^{tX} dℙ
$$
Define $f_t(w):=e^{tX(w)}$. Assume that for some $\tau>0$ we have that $\int_\Omega f_\tau dℙ<\infty$ (i.e. the moment generating function exists in a single point).
Since we have $f_{t'}<f_t$ for all $t'<t$, the law of dominated convergence now tells us that for any $t'<\tau$ we have that
$$
\lim_{t\to t'}g(t)=\lim_{t\to t'}\int_\Omega e^{tX} dℙ= \int_\Omega \lim_{t\to
t'}e^{tX} dℙ = \int_\Omega e^{(\lim_{t\to t'}t)X} dℙ = g(\lim_{t\to t'} t)
$$
, i.e. $g$ is continuous in $t'$ by the sequential continuity theorem.
So really, all we need is for $g(t)$ to exist in a single point $\tau$, from which it follows that $g$ is continuous for all $t<\tau$.