Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"tv-recommender-mcp-server": {
"args": [
"-y",
"tv-recommender-mcp-server"
],
"command": "npx"
}
}
}Are you the author?
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本项目是一个基于MCP(Model Context Protocol)的服务器,专门用于提供全面的美剧推荐和信息查询服务。服务器通过标准输入/输出(stdio)与支持MCP的客户端通信,并通过调用TMDb(The Movie Database) API获取数据。服务覆盖从剧集发现、详情查询到观看渠道、演员信息、用户评论等多方面功能,为用户提供一站式剧集探索体验。
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基于TMDb API的美剧推荐MCP服务器,提供按类型推荐、相似剧集推荐和剧集详情功能。
本项目是一个基于MCP(Model Context Protocol)的服务器,专门用于提供全面的美剧推荐和信息查询服务。服务器通过标准输入/输出(stdio)与支持MCP的客户端通信,并通过调用TMDb(The Movie Database) API获取数据。服务覆盖从剧集发现、详情查询到观看渠道、演员信息、用户评论等多方面功能,为用户提供一站式剧集探索体验。
大型语言模型(LLM)在理解和生成文本方面表现出色,但在提供实时、个性化的美剧推荐方面存在局限性(如知识截止、缺乏用户偏好理解)。用户期望通过自然语言交互获得更精准、更及时的推荐,而现有LLM难以完全满足此需求。本项目旨在通过Model Context Protocol (MCP) Server扩展LLM的能力,解决这一痛点,抓住提供更智能影视发现体验的机会。
愿景: 让用户能够通过与LLM的自然对话,无缝地发现、了解并获取个性化、实时、可解释的美剧推荐,将LLM变为强大的个人娱乐顾问。
主要目标用户是熟悉并使用支持MCP的LLM客户端(如Claude Desktop)的个人用户。他们是美剧爱好者,对通过AI获取信息持开放态度,并希望以更自然、交互的方式发现符合口味的新剧集。
此MCP服务器采用模块化设计,具有明确的关注点分离。服务器初始化MCP框架,注册各种推荐工具,并使用TMDb客户端与TMDb API交互。配置设置(特别是TMDb API密钥)通过环境变量管理。
flowchart TD
A["MCP客户端<br>(LLM工具)"] -- "MCP请求<br>(stdio)" --> B
subgraph "服务器架构"
B["MCP核心<br>(stdio)"] --> C["工具路由器"]
C --> D["工具实现层"]
D --> E["TMDb服务客户端"]
D --> F["工具辅助功能<br>(如类型映射)"]
E -- "HTTP请求" --> G["TMDb API"]
D --> H["日志系统"]
E --> H
end
G -- "HTTP响应" --> E
B -- "发送响应" --> A
以下是本项目的完整功能列表及开发状态 (基于 .ai 目录下的用户故事):
Epic 1: 核心推荐工具 MVP (Core Recommendation Tools MVP)
story-1-1-setup-integration.md)story-1-2-recommend-genre.md) - 工具: get_recommendations_by_genrestory-1-3-recommend-similar.md) - 工具: get_similar_showsstory-1-4-show-details.md) - 工具: get_show_detailsEpic 2: 增强与扩展 (Enhancements & Expansion)
story-2-1-keyword-discovery.md)story-2-2-early-works.md)story-2-3-episode-details.md)story-2-4-provider-aggregation.md)story-2-5-actor-info.md) - 工具: get_actor_details_and_credits, find_shows_by_actor, get_recommendations_by_actorstory-2-6-advanced-discovery.md) - 工具: discover_showsstory-2-7-popular-trending.md) - 工具: get_popular_shows, get_trending_showsstory-2-8-reviews-ratings.md) - 工具: get_show_reviewsstory-2-9-trailers.md) - 工具: get_show_videosstory-2-10-watch-providers.md) - 工具: get_watch_providers**Epic 3: 个