Schema | mcp-data-service

mcp-data-service

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LOG_LEVEL`	No	Logging level, e.g., DEBUG, INFO, WARNING, ERROR. Example: `LOG_LEVEL=DEBUG`.
`DATA_SOURCES`	No	Comma-separated list of data sources in format `name=path`. For example: `default=./data/video_stats.csv,archive=./data/archive.db`. SQLite files are auto-detected by extension .db/.sqlite.

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
query_video_statsC	查询统计数据。列名以实际 CSV 为准，metric 必须是存在的列。
data_insightsC	自动洞察：数据总览 + 异常下探（1.5σ 偏离）+ 建议。列名以实际 CSV 为准。
list_columnsB	列出数据集的全部列名与类型。
list_sourcesA	列出当前可用的数据源（通过 DATA_FILE / DATA_SOURCES 配置）。
refresh_sourcesA	清除数据源缓存；下次查询重新读取 CSV/SQLite。只读操作，不修改文件。
get_schemaB	获取数据集详细 Schema：列名、类型、非空数、均值/分位数、取值示例。
preview_dataC	分页预览数据，支持条件过滤。
aggregate_statsC	按字段分组聚合。
correlation_analysisB	数值列相关性矩阵（Pearson），可选指定列。
sql_queryA	只读 SQL 查询（仅 SELECT/WITH），在 SQLite 或 DataFrame 上执行。
health_checkA	健康自检：返回数据源、行列数、必要列、MCP 工具数。

Interactive templates invoked by user choice

Name	Description
`analyze_data`
`anomaly_drilldown`

Contextual data attached and managed by the client

Name	Description
No resources

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