Gateway vs MCP Clickhouse — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Gateway vs MCP Clickhouse
In-depth architectural comparison of the Gateway and MCP Clickhouse MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Gateway
Databases · Remote HTTP/SSE
Quality: 51/100 (Good) | Auth: API Key required
MCP Clickhouse
Databases · Local stdio
Quality: 65/100 (Great) | Auth: other
Verdict Summary: Choose Gateway if you need specialized Databases tools running via a hosted cloud SSE transport. Choose MCP Clickhouse if your workspace requires Databases integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Gateway when:
You need dedicated capabilities in the Databases domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
Primary tools included: Automatic API generation from schema and sampled data, MCP and MCP SSE endpoints, REST and OpenAPI 3.1 output.
MCP and MCP SSE Server that automatically generate API based on database schema and data. Supports PostgreSQL, Clickhouse, MySQL, Snowflake, BigQuery, Supabase
ClickHouse database integration with schema inspection and query capabilities
Gateway is categorized under Databases and uses a remote streaming HTTP/SSE transport. In contrast, MCP Clickhouse belongs to Databases using local stdio subprocess. Select Gateway when you need capabilities focused on databases and MCP Clickhouse when you require tools for databases.
List available ClickHouse tables in a database, including schema, comment,
row count, and column count.
Args:
database: The database to list tables from
like: Optional LIKE pattern to filter table names
not_like: Optional NOT LIKE pattern to exclude table names
page_token: Token for pagination, obtained from a previous call
page_size: Number of tables to return per page (default: 50)
include_detailed_columns: Whether to include detailed column metadata (default: True).
When False, the columns array will be empty but create_table_query still contains
all column information. This reduces payload size for large schemas.
Returns:
A JSON-encoded string of an object containing:
- tables: List of table information (as dictionaries)
- next_page_token: Token for the next page, or None if no more pages
- total_tables: Total number of tables matching the filters
run_query
Execute SQL queries in ClickHouse. Queries run in read-only mode by default. Set CLICKHOUSE_ALLOW_WRITE_ACCESS=true to allow DDL and DML operations. Set CLICKHOUSE_ALLOW_DROP=true to additionally allow destructive operations (DROP, TRUNCATE).