oyama-opendata-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_datasetsA | 提供中のデータセット一覧（収録月・行数を含む）を返す。 |
| list_areasA | 絞り込みに使える地区名(地区名)と地域名(大字町丁)の一覧を返す。 |
| get_populationA | 小山市の大字町丁別の総人口・男女別人口・世帯数を返す。期間(fromYearMonth/toYearMonth)・地区(district)・地域(area)で絞り込み、levelで集計粒度を選べる（area=町丁別 / district=地区別 / city=市全体）。人口推移のグラフ化はクライアント側で行う想定。 |
| get_age_distributionA | 5歳階級×男女別の人口構成を返す。yearMonth未指定なら最新月、district指定で地区別、未指定で市全体に合算。人口ピラミッドの描画に使える。 |
| get_metadataA | データの出典・ライセンス(CC BY)・帰属表示・収録月を返す。datasetId指定で特定データセットに絞れる。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: get_age_distribution returns age pyramids, get_population returns population counts, get_metadata returns source information, list_areas returns filtering options, and list_datasets returns available datasets. No overlap in functionality.
All tool names follow a consistent verb_noun pattern using underscores: get_* for data retrieval and list_* for enumerations. The naming is predictable and readable.
With 5 tools, the set is well-scoped for an open data MCP focused on population demographics. Each tool serves a necessary role without redundancy or unnecessary complexity.
The tool surface covers core operations: listing datasets and areas, retrieving age distribution and population data, and accessing metadata. Minor gaps exist (e.g., no direct tool for household composition), but the main query needs are addressed.