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Agent-first workout and food log: sets and meals from chat, USDA and Open Food Facts macros, cards.
bodylog 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 73/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 bodylog 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx bodylog==0.1.0运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-23T15:38:47.617793Z",
"publishedAt": "2026-09-23T15:38:47.617793Z",
"statusChangedAt": "2026-09-23T15:38:47.617793Z"
}
},
"server": {
"name": "io.github.abhaymettu/bodylog",
"title": "bodylog",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.0",
"packages": [
{
"version": "0.1.0",
"transport": {
"type": "stdio"
},
"identifier": "bodylog",
"runtimeHint": "uvx",
"registryType": "pypi",
"packageArguments": [
{
"type": "positional",
"value": "mcp"
}
],
"environmentVariables": [
{
"name": "BODYLOG_DB",
"format": "string",
"description": "SQLite file for the log (default ~/.bodylog/log.db)"
},
{
"name": "BODYLOG_CARDS",
"format": "string",
"description": "Directory for rendered card PNGs (default ~/.bodylog/cards)"
},
{
"name": "FDC_API_KEY",
"format": "string",
"isSecret": true,
"description": "USDA FoodData Central API key (free at api.data.gov); DEMO_KEY is used without one"
},
{
"name": "BODYLOG_OFFLINE",
"format": "string",
"description": "Set to 1 to use only the bundled USDA table, no network lookups"
}
]
}
],
"repository": {
"url": "https://github.com/abhaymettu/bodylog",
"source": "github"
},
"description": "Agent-first workout and food log: sets and meals from chat, USDA and Open Food Facts macros, cards."
}
}