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Glama
Mo3g4u

Sakila MCP Server

by Mo3g4u

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MYSQL_HOSTNoThe MySQL hostlocalhost
MYSQL_PORTNoThe MySQL port3306
MYSQL_USERNoThe MySQL usersakila_user
MYSQL_DATABASENoThe MySQL database namesakila
MYSQL_PASSWORDNoThe MySQL passwordsakila_pass

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

CapabilityDetails
tools
{
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_filmsC

映画を検索します。タイトル、カテゴリ、レーティング、俳優名などで絞り込みできます。

get_film_detailsC

映画の詳細情報(出演者、カテゴリ、在庫状況含む)を取得します。

list_categoriesB

利用可能な映画カテゴリの一覧を取得します。

check_film_availabilityC

映画の在庫・貸出状況を確認します。

get_actor_filmographyC

俳優の出演作品一覧を取得します。

search_customersC

顧客を検索します。名前、メール、店舗で絞り込みできます。

get_customer_detailsC

顧客の詳細情報(住所、レンタル統計含む)を取得します。

get_customer_rentalsB

顧客のレンタル履歴を取得します。

get_overdue_rentalsC

延滞中のレンタル一覧を取得します。

get_popular_filmsC

人気映画ランキングを取得します。

get_revenue_summaryC

売上サマリーを取得します。

get_store_statsC

店舗の統計情報を取得します。

get_top_customersC

優良顧客ランキングを取得します。

get_customer_segmentsB

顧客セグメント分析を行います。利用頻度・金額で顧客を自動分類します。

get_customer_activityC

顧客アクティビティ分析を行います。新規・アクティブ・休眠顧客の割合を確認できます。

get_inventory_turnoverC

在庫回転率分析を行います。作品ごとの在庫効率を確認できます。

get_category_performanceC

カテゴリ別パフォーマンス分析を行います。

get_underperforming_filmsB

低稼働作品一覧を取得します。長期間レンタルされていない作品を特定できます。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 18 tools

Disambiguation5/5

Each tool has a clearly distinct purpose targeting specific resources and actions, such as checking film availability, getting actor filmography, analyzing category performance, or retrieving customer details. There is no overlap or ambiguity between tools; for example, 'get_customer_details' and 'get_customer_rentals' serve different functions without confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern, primarily using 'get_' or 'search_' prefixes followed by descriptive nouns, with minor variations like 'check_' and 'list_' that still maintain readability. There are no deviations in style, such as mixing camelCase or snake_case, ensuring predictability across the set.

Tool Count4/5

With 18 tools, the count is slightly high but reasonable for a Sakila database server covering films, customers, rentals, and analytics. It includes essential operations like search, retrieval, and analysis, though it might benefit from consolidation in areas like analytics to reduce potential complexity.

Completeness5/5

The tool set provides comprehensive coverage for the Sakila domain, including CRUD-like operations (e.g., search and get details for films and customers), rental management (e.g., overdue rentals), and advanced analytics (e.g., performance, segments, turnover). There are no obvious gaps; agents can handle full workflows from browsing to analysis without dead ends.

Maintenance

ActivityInactive
ResponsivenessNo issues