Best MCP servers for NoSQL databases
NoSQL stores trade fixed schemas for flexibility: document collections, key-value pairs, wide-column tables, graphs, and streams. An agent that can query these directly skips the round-trip of writing a script, deploying it, and reading logs, it can inspect a document, run a query, and explain the result in one turn. The right server depends on your engine, a document database, an in-memory key-value and vector store, or a multi-model database that speaks one unified query language. Because NoSQL queries are easy to get subtly wrong, a server that surfaces schema and collection structure is as valuable as one that runs the query. The servers below cover the common NoSQL shapes, each a real MCP server with a verified, current install config.
MongoDB
MongoDB
MongoDB's official MCP server: query and manage databases, plus Atlas cluster administration.
MongoDB's official server queries and manages databases and handles Atlas cluster administration, the default choice for document-oriented workloads.
Redis
Redis
Redis's official MCP server: read and write strings, hashes, lists, streams, JSON, and vector search.
Redis's official server reads and writes strings, hashes, lists, streams, JSON, and vector search, covering both classic key-value caching and modern vector retrieval.
Couchbase
Couchbase
Couchbase's MCP server lets an agent explore buckets, scopes, and collections, run SQL++ queries, and do key-value document operations.
Couchbase's server lets an agent explore buckets, scopes, and collections, run SQL++ queries, and do key-value document operations, strong when you want SQL-like querying over documents.
SurrealDB
SurrealDB
SurrealDB's official MCP server lets agents query and mutate a SurrealDB instance with SurrealQL and manage SurrealDB Cloud.
SurrealDB's official server lets agents query and mutate an instance with SurrealQL and manage SurrealDB Cloud, a fit for multi-model apps that mix documents, graphs, and relations.