Side-by-Side Model Context Protocol Comparison
MCP Clickhouse vs Datacharter
In-depth architectural comparison of the MCP Clickhouse and Datacharter 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
MCP Clickhouse
Databases · Local stdio
Quality: 65/100 (Great) | Auth: other
Datacharter
Databases · Local stdio
Quality: 53/100 (Good) | Auth: No auth required
Verdict Summary: Choose MCP Clickhouse if you need specialized Databases tools running via a local process. Choose Datacharter 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 MCP Clickhouse when:
- You need dedicated capabilities in the Databases domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: other (Free / Open Source).
- Primary tools included: list_databases, list_tables, run_query.
Choose Datacharter when:
- You need dedicated capabilities in the Databases domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- You have access to required keys:
DATA_CHARTER_CONFIG, DATA_CHARTER_LOG_LEVEL. - Primary tools included: Federated querying across files and databases locally, Read-only query engine with no write or filesystem side effects, Automatic PII detection and default agent access denial.
Feature & Specification Comparison
Tools & Capabilities Breakdown
MCP Clickhouse Tools (3)
list_databases
List available ClickHouse databases
list_tables
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).
Datacharter Tools (6)
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
MCP Clickhouse Configuration
Datacharter Configuration