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Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors
io.github.egoughnour/cowork-history 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 64/100。 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 io.github.egoughnour/cowork-history 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 cowork-history==4.0.3运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-01-30T05:06:23.907728Z",
"publishedAt": "2026-01-30T05:06:23.907728Z",
"statusChangedAt": "2026-01-30T05:06:23.907728Z"
}
},
"server": {
"name": "io.github.egoughnour/cowork-history",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "4.0.3",
"packages": [
{
"version": "4.0.3",
"transport": {
"type": "stdio"
},
"identifier": "cowork-history",
"registryType": "pypi",
"environmentVariables": [
{
"name": "OLLAMA_URL",
"format": "string",
"description": "URL for Ollama server (default: http://localhost:11434)"
},
{
"name": "EMBEDDING_MODEL",
"format": "string",
"description": "Ollama embedding model (default: nomic-embed-text)"
}
]
},
{
"transport": {
"type": "stdio"
},
"fileSha256": "e43f1f47323e11d96e2860ff9b25a69751787ae3952c31d66aa6ac5132d90a04",
"identifier": "https://github.com/egoughnour/cowork-history/releases/download/v4.0.3/cowork-history.mcpb",
"registryType": "mcpb",
"environmentVariables": [
{
"name": "OLLAMA_URL",
"format": "string",
"description": "URL for Ollama server (default: http://localhost:11434)"
},
{
"name": "EMBEDDING_MODEL",
"format": "string",
"description": "Ollama embedding model (default: nomic-embed-text)"
}
]
}
],
"repository": {
"url": "https://github.com/egoughnour/cowork-history",
"source": "github"
},
"description": "Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors"
}
}