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Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.
Ratary Memory MCP 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 67/100。 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 Ratary Memory MCP 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。
npx -y @ratary/mcp-server@1.1.1运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-07-06T08:01:10.419706Z",
"publishedAt": "2026-07-06T08:01:10.419706Z",
"statusChangedAt": "2026-07-06T08:01:10.419706Z"
}
},
"server": {
"name": "io.github.ontorata/ratary",
"title": "Ratary Memory MCP",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.1.1",
"packages": [
{
"version": "1.1.1",
"transport": {
"type": "stdio"
},
"identifier": "@ratary/mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "RATARY_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "Ratary API key (aic_...)"
},
{
"name": "RATARY_BASE_URL",
"format": "string",
"description": "Ratary REST base URL (default https://ratary.ontorata.com)"
}
]
}
],
"repository": {
"url": "https://github.com/ontorata/ratary",
"source": "github"
},
"websiteUrl": "https://github.com/ontorata/ratary/tree/main/MCP",
"description": "Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context."
}
}