MariaDB MCP Server vs Altinity MCP

Choosing between MariaDB MCP Server and Altinity MCP? Both are database and sql MCP servers, but they lean into different workflows. This page focuses on where each one is actually stronger, not just raw counts.

Choose MariaDB MCP Server for

Enabling AI assistants to query relational data directly from MariaDB.

Choose Altinity MCP for

Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.

MariaDB MCP Server

151by MariaDBstdio

Manage and query MariaDB databases with SQL and vector search capabilities.

Best for Enabling AI assistants to query relational data directly from MariaDB.

The MCP MariaDB Server provides a Model Context Protocol (MCP) interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search. Designed for use with AI assistants, it enables seamless integration of…

What it does

  • Standard SQL query execution with read-only enforcement
  • Schema retrieval including foreign key relationship mapping
  • Vector store management for embedding-based semantic search
  • Integration with OpenAI, Gemini, and HuggingFace embedding providers
  • Database and table discovery tools

Available tools (11)

list_databasesLists all accessible databases.
list_tablesLists all tables in a specified database.
get_table_schemaRetrieves schema for a table including columns, types, and keys.
get_table_schema_with_relationsRetrieves schema with foreign key relations for a table.
execute_sqlExecutes a read-only SQL query.
create_databaseCreates a new database if it does not exist.
create_vector_storeCreates a new vector store table for embeddings.
delete_vector_storeDeletes a vector store table.
list_vector_storesLists all vector stores in a database.
insert_docs_vector_storeBatch inserts documents and metadata into a vector store.
search_vector_storePerforms semantic search for similar documents using embeddings.

Setup requirements

Requires 5 environment variables: EMBEDDING_PROVIDER, OPENAI_API_KEY, GEMINI_API_KEY, HF_MODEL, MCP_READ_ONLY. Available via Manual.

View MariaDB MCP Server details
vs

Altinity MCP

23by Altinitystdio

Interact with ClickHouse databases through the Model Context Protocol

Best for Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.

A Model Context Protocol (MCP) server that provides tools for interacting with ClickHouse® databases. This server enables AI assistants and other MCP clients to query, analyze, and interact with ClickHouse® databases through a standardized protocol.

What it does

  • Support for STDIO, HTTP, and SSE transport protocols
  • OAuth 2.0 and JWE-based authentication support
  • Automatic generation of MCP tools from ClickHouse views
  • Dynamic resource discovery for database schemas
  • TLS encryption for secure database and server connections

Available tools (3)

list_tablesList all tables available in the ClickHouse database
describe_schemaRetrieve the schema definition for a specific table
execute_queryExecute a SQL query against the ClickHouse database

Setup requirements

Requires 3 environment variables: CLICKHOUSE_HOST, MCP_TRANSPORT, MCP_PORT. Available via Docker and Helm and Source.

View Altinity MCP details

Biggest differences

CompareMariaDB MCP ServerAltinity MCP
Best forEnabling AI assistants to query relational data directly from MariaDB.Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters.
StandoutStandard SQL query execution with read-only enforcement.Support for STDIO, HTTP, and SSE transport protocols.
SetupManual, needs 5 env vars, stdio transport.Docker or Helm, needs 3 env vars, stdio transport.
Transportstdiostdio
Community151 GitHub stars23 GitHub stars

Bottom line

Pick MariaDB MCP Server if...

Enabling AI assistants to query relational data directly from MariaDB. Standard SQL query execution with read-only enforcement. Manual, needs 5 env vars, stdio transport.

Pick Altinity MCP if...

Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. Support for STDIO, HTTP, and SSE transport protocols. Docker or Helm, needs 3 env vars, stdio transport.

The real split here is workflow fit, not raw counts. MariaDB MCP Server: Enabling AI assistants to query relational data directly from MariaDB. Altinity MCP: Enabling AI agents to perform ad-hoc data analysis on production ClickHouse clusters. MariaDB MCP Server also has the larger public footprint (151 vs 23 stars).

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