Remote MCP Server vs Local: Which and Why

A remote MCP server is the same thing as a local one — a program exposing tools to an AI client — running at a different address. Local means a process on your machine, launched by the client, configured by you. Remote means hosted infrastructure you reach as a URL. The tools can be identical. Everything that differs is operational: installation, credentials, updates, revocation. For a server that can move advertising money, those differences are the decision.

How remote differs from local

What running locally really involves

A local Google Ads MCP server is a small self-hosting project. You install a runtime — typically Python or Node — then assemble credentials: a Google Cloud project, an OAuth client, a developer token, and a refresh token you generate and paste into a config file on disk. When the server updates, you update it. When the API changes versions, you migrate. When the laptop sleeps mid-call, that is your outage. None of this is exotic for a developer; all of it is real work, repeated on every machine that needs access.

What remote changes

A hosted connector inverts the setup. You sign in with your own Google account — an OAuth consent, no password shared — and receive a private connector address to paste into your AI client. There is nothing to install, so non-developers can connect. Patching is central: the vendor updates once and every user is current. And access control becomes administrative rather than physical: a connector can be scoped to specific accounts, revoked per person, or killed org-wide without touching anyone's laptop.

The trust trade: who holds credentials in each model

This is the honest core of the choice. Local custody means the refresh token sits in files on your machine: nothing leaves your hardware, and its safety equals your machine's safety — disk encryption, OS updates, who else has admin. Remote custody means the vendor stores the token, and their security posture becomes part of yours: encryption at rest, whether anything beyond the token is stored, audit logging, revocation paths, verified OAuth status. Neither model is free of trust. Local trusts your operational discipline; remote trusts a vendor's — and a vendor you can interrogate, scope and revoke is a fair counterparty to a laptop you never audit.

Hosting decides who gets to use the agent

Hosting determines who can use the AI at all. Local servers gate access on comfort with runtimes and tokens — in practice, developers. Remote connectors make "paste this URL" the entire onboarding, which is what lets an account manager or a founder use the same tools as the engineer.

Hosting also determines what happens on the worst day. With local servers, offboarding a person or containing a leak means finding every machine with a token in a config file. With a hosted connector, it is revoking a key — and with per-member sign-in, revoking one person's key touches nobody else's.

When is local still the right call? When you are a developer testing against your own account; when policy forbids third-party credential custody; when you want to modify the server's code itself. Those are real cases. For a team operating live budgets through AI clients, the hosted model — scoped, revocable, centrally patched — is the one that survives contact with staff turnover.

Start with what an MCP server is; if you are weighing self-hosting, the Google Ads API access guide shows exactly what the credential assembly involves.