Self-hosted MySQL (DBHub) MCP alternatives
The MySQL DBHub server installs locally and talks to your agent over stdio, so the process and its credentials stay on your machine while it runs SQL and explores schema against a MySQL database. The servers below run locally too, each a gateway or driver for a different engine you operate. They cover relational, columnar, document, search, key-value, and graph stores.
Self-hosting controls where the server runs and what holds its keys. The data lives in whatever database the server connects to, on your own infrastructure for a local deployment, or at a managed backend if the server points at a cloud service.
The 8 best self-hosted alternatives
The same DBHub gateway aimed at a single file: the SQLite server runs SQL and explores schema locally against a database file, the lightest relational option when a full MySQL server is more than needed.
Set up SQLite (DBHub) →Also DBHub, pointed at a Postgres instance you run over a DSN. It is the natural relational sibling to MySQL, with the same execute-SQL and schema-search surface from a process you control.
Set up DBHub (Postgres) →Supabase's server installs locally and runs SQL, inspects schema, reads logs, and manages edge functions on a project, pairing Postgres with app operations rather than a bare query gateway.
Set up Supabase →Document data fits MongoDB, whose self-hosted server queries and manages databases and administers Atlas. It models nested documents instead of MySQL's related tables, a fit for fluid schemas.
Set up MongoDB →For analytics on your own cluster, ClickHouse's server lists databases and tables and runs read-only SQL against a column-oriented store, far faster than MySQL for heavy aggregations.
Set up ClickHouse →Elastic's self-hosted server lists indices, reads mappings, and runs full-text and ES|QL queries. When the workload is search and relevance, it fits better than relational CRUD, and it runs on your infrastructure.
Set up Elasticsearch →An in-memory store for caching and fast lookups beside a relational database, Redis reads and writes strings, hashes, lists, streams, JSON, and vector search against an instance you run.
Set up Redis →Connected data is Neo4j's strength: its self-hosted server introspects a graph schema and runs read or write Cypher, modeling relationships more directly than MySQL's join tables.
Set up Neo4j →
How to choose
The MySQL server self-hosts already as a DBHub gateway, so this is about which other local engine fits your data. Postgres is the closest relational sibling, SQLite the single-file one, and Supabase adds project operations on Postgres. ClickHouse covers analytics, Elasticsearch covers search, MongoDB covers documents, Redis covers caching, and Neo4j covers graphs. One honest caveat: self-hosting the server controls the process and keys, while whether the data stays on your infrastructure depends on running the database locally rather than pointing at a managed backend.
FAQ
- Can the MySQL MCP server be self-hosted?
- Yes. It is Bytebase's DBHub run locally over stdio, connecting to your own MySQL database, so the server process and credentials stay on infrastructure you control.
- Does self-hosting these servers keep my data on my own infrastructure?
- It keeps the server process and keys local. The data sits wherever the database runs: a local MySQL, Postgres, or Neo4j stays on your infrastructure, while a server pointed at a managed cloud backend sends data there instead.