Are both servers remote, or do I run something locally?

Both are official hosted remote MCP servers — you connect over an authenticated endpoint with no local process to run. PlanetScale exposes its platform over a remote server; Neon does the same for its serverless Postgres control plane.

Which is better for schema changes?

It depends on engine. PlanetScale routes schema changes through its branch/deploy-request model and surfaces schema recommendations. Neon offers explicit staged migration tools — prepare a migration, then complete it — plus query tuning, which makes the migration workflow very explicit on the Postgres side.

PlanetScale vs Neon

PlanetScale MCP and Neon MCP both connect an agent to a serverless, branch-based managed database over a hosted remote endpoint — but to different engines and with different center of gravity. PlanetScale is the MySQL-compatible (Vitess-based) platform, and its official server lets the agent navigate the full hierarchy — organizations, databases, branches, and branch schemas — read and write SQL through separate read-query and write-query tools, and pull query insights and schema recommendations. Neon is serverless Postgres, and its official server exposes a deep control plane: list, create, describe, and delete projects; spin up and tear down copy-on-write database branches; fetch connection strings; run SQL and transactions; and, distinctively, drive safe, staged schema migrations (prepare then complete) plus query tuning, slow-query inspection, and EXPLAIN. Both lean on branching as a workflow primitive. The deciding question is which engine you build on — MySQL/Vitess or Postgres — and whether you want PlanetScale's insights-forward read/write split or Neon's migration-and-tuning-heavy control plane. Here is a balanced look.

How they compare

Dimension	PlanetScale	Neon
Engine and lineage	MySQL-compatible, built on Vitess for horizontal sharding and scale; PlanetScale's heritage is large-scale MySQL operations.	Serverless Postgres with instant copy-on-write branching and scale-to-zero compute; Postgres semantics throughout.
Branching workflow	List and inspect database branches and fetch a branch's schema; branches map to PlanetScale's deploy-request model for schema changes.	Create, delete, and describe branches as instant copy-on-write clones, list branch computes, compare schemas, and reset a branch from its parent.
SQL execution	Split tools — execute_read_query for SELECTs and a separate execute_write_query for INSERT/UPDATE/DELETE and DDL — to keep reads and writes distinct.	run_sql and run_sql_transaction execute queries and transactions directly, with EXPLAIN and connection-string retrieval alongside.
Migrations and tuning	Surfaces query insights and schema recommendations, plus documentation search; migrations flow through PlanetScale's branch/deploy model.	Staged, safe schema migrations (prepare then complete), plus query-tuning prepare/complete, slow-query listing, and EXPLAIN — tuning is first-class.
Control-plane breadth	Organization, database, branch, regions, cluster-size SKUs, and even billing tools (list invoices, line items) round out the surface.	Full project lifecycle, branch computes, Neon Auth and Data API provisioning, plus docs resources — a broad Postgres platform control plane.

Verdict

Choose by engine first. Reach for PlanetScale MCP when you build on MySQL/Vitess and want an agent that navigates orgs, databases, and branches, keeps reads and writes on separate tools, and pulls query insights and schema recommendations — with billing visibility as a bonus. Reach for Neon MCP when you build on Postgres and want a deep control plane: instant branches, staged and safe schema migrations, query tuning, slow-query inspection, and Neon Auth/Data API provisioning. In short: PlanetScale for branch-based, insights-forward MySQL; Neon for branch-based, migration-and-tuning-rich serverless Postgres.

FAQ

Are both servers remote, or do I run something locally?: Both are official hosted remote MCP servers — you connect over an authenticated endpoint with no local process to run. PlanetScale exposes its platform over a remote server; Neon does the same for its serverless Postgres control plane.
Which is better for schema changes?: It depends on engine. PlanetScale routes schema changes through its branch/deploy-request model and surfaces schema recommendations. Neon offers explicit staged migration tools — prepare a migration, then complete it — plus query tuning, which makes the migration workflow very explicit on the Postgres side.