MLIT Data Platform MCP Server

by kkawailab

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Python

Remote

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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

A4.4/5.0

Scored 2026-04-18 08:05 across 18 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between search_by_attribute and search (both support term + attribute filtering) and between get_data_catalog and get_data_catalog_summary (both retrieve catalog metadata, though with different detail levels). The descriptions help clarify the differences, but an agent might initially confuse these pairs.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (e.g., get_all_data, search_by_location_rectangle). The naming is predictable and uniform across the entire set, making it easy for an agent to understand the action and target.

Tool Count4/5

With 18 tools, the count is slightly high but reasonable for a data platform server covering search, retrieval, metadata, and file operations. Each tool serves a specific function, though some could potentially be consolidated (e.g., multiple search variants).

Completeness5/5

The toolset comprehensively covers the domain of data access and management, including search (with various filters), data retrieval (batch, single, counts), metadata exploration (catalogs, datasets, municipalities, prefectures), file operations (downloads, thumbnails, ZIPs), and utilities (suggest, normalize). There are no obvious gaps for core workflows.