Doris MCP Server
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Alternatives to Doris MCP Server
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Related Servers
- AlicenseNot gradedqualityFmaintenanceEnables natural language querying of Apache Doris databases via LLM-powered SQL generation, execution, and metadata management through the MCP protocol.9Apache 2.0
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- AlicenseNot gradedqualityDmaintenanceThis MCP server provides connection to Starrocks allows you to explore this query engine with minimum effort.1MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables users to interact with Apache Doris databases through natural language, supporting query and management operations.3Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables LLMs to explore database schemas, execute read-only SQL queries, and perform data analysis on Apache Doris or MySQL-compatible databases through a standardized MCP interface with built-in analytical prompts.1MIT
- FlicenseBqualityDmaintenanceA Model Context Protocol server that enables large language models to interact with Apache Superset databases through REST API, supporting database queries, table lookups, field information retrieval, and SQL execution.45-
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose with no ambiguity. exec_query handles SQL execution, get_db_list retrieves database names, get_db_table_list lists tables, get_recent_audit_logs fetches logs, and the remaining tools (get_table_column_comments, get_table_comment, get_table_indexes, get_table_schema) each target specific table metadata aspects without overlap.
All tools follow a consistent verb_noun pattern using snake_case. The naming is highly predictable: exec_query, get_db_list, get_db_table_list, get_recent_audit_logs, get_table_column_comments, get_table_comment, get_table_indexes, and get_table_schema all adhere to the same convention.
With 8 tools, this server is well-scoped for database interaction and metadata exploration. Each tool earns its place by covering distinct aspects like query execution, database/table listing, audit logs, and detailed table metadata, without being overly sparse or bloated.
The toolset provides strong coverage for querying and inspecting databases, including CRUD-like operations via exec_query and comprehensive metadata retrieval. Minor gaps exist, such as no explicit tools for creating/dropping databases or tables, but agents can work around this using exec_query for such operations.