Redshift MCP Server

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One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3/5.0

Scored 2026-04-18 10:20 across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: analyze_table focuses on table statistics, execute_sql runs queries, and get_execution_plan provides query performance insights. There is no overlap in functionality, making it easy for an agent to select the right tool.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (analyze_table, execute_sql, get_execution_plan) with clear, descriptive verbs. The naming is uniform and predictable throughout the set.

Tool Count3/5

With only 3 tools, the set feels thin for a database server like Redshift, which typically involves more operations such as data manipulation, schema management, or monitoring. While the tools cover core query execution and analysis, the scope seems limited.

Completeness2/5

There are significant gaps in the tool surface for a Redshift server. Missing are essential operations like creating/dropping tables, inserting/updating data, listing databases or tables, and user/permission management. This incomplete coverage will likely cause agent failures in broader database workflows.