Best MCP servers for distributed SQL
Distributed SQL, the NewSQL category, gives you the familiar relational model with horizontal scale, multi-region resilience, and no manual sharding. Operating one of these clusters means reasoning about more than queries: node and cluster health, branches and workspaces, query insights, and schema changes that have to be safe at scale. An agent connected over MCP can run SQL, introspect schema, and watch cluster state directly, which turns a lot of console work into a conversation. The right server depends on which engine you run: a Postgres-compatible distributed store, a MySQL-compatible one, a real-time analytics SQL platform, or a serverless MySQL with branch-based workflows. The servers below cover those shapes, each a real MCP server with a verified, current install config.
CockroachDB
amineelkouhen
A natural-language MCP server for CockroachDB: query data, manage schema, and monitor cluster health across nodes.
CockroachDB's natural-language server queries data, manages schema, and monitors cluster health across nodes, the right pick for a Postgres-compatible, geo-distributed store.
TiDB
PingCAP
PingCAP's official MCP server lets agents explore databases and run SQL against TiDB, the MySQL-compatible distributed SQL database.
PingCAP's official TiDB server explores databases and runs SQL against TiDB, the MySQL-compatible distributed SQL database, strong for MySQL-shaped workloads that need to scale out.
SingleStore
SingleStore
SingleStore's official MCP server lets agents run SQL on workspaces, manage starter workspaces and Stage files, and orchestrate notebooks and jobs.
SingleStore's official server runs SQL on workspaces and manages starter workspaces, Stage files, notebooks, and jobs, a fit for real-time analytics on a distributed SQL engine.
PlanetScale
PlanetScale
PlanetScale's official hosted MCP server: explore organizations, databases, and branches, read and write SQL, and pull query insights.
PlanetScale's official hosted server explores organizations, databases, and branches, reads and writes SQL, and pulls query insights, ideal for serverless MySQL with branch-based schema workflows.