GreptimeDB MCP Server

Official

by GreptimeTeam

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Python

Hybrid

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Deploy Server

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

A3.5/5.0

Scored 2026-09-15 19:10 across 15 tools

Disambiguation5/5

Each tool targets a distinct resource and action: health, table/semantic metadata, query execution, pipeline lifecycle, and dashboard lifecycle. Even overlapping tools like search_table_semantics and describe_table are explicitly differentiated in their descriptions.

Naming Consistency4/5

Most names follow a consistent verb_noun snake_case pattern such as execute_sql, list_pipelines, and create_dashboard. health_check is a minor outlier since it is a noun compound rather than check_health, but it does not create real confusion.

Tool Count5/5

At 15 tools, the server sits at the upper edge of the ideal range but remains well-scoped. Each tool supports a distinct workflow covering health, metadata discovery, multiple query modes, pipeline management, and dashboards.

Completeness4/5

The core workflows are well covered: health checks, table discovery, semantic graph queries, SQL/TQL/range querying with explain support, pipeline lifecycle operations, and dashboard CRUD. The main gap is the lack of an explicit pipeline update/edit tool, though create_pipeline and versioned deletion may partially cover this.