ai·rete·rag

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 电脑或云端
• 传输方式: stdio, Streamable HTTP
• 分类: 搜索与 AI 记忆
• 你需要填写：AI_RETE_RAG_API_KEY, Authorization

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接
• PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

{
  "mcpServers": {
    "ai-rete-rag": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

claude mcp add --transport http ai-rete-rag https://ai-rete-rag.com/mcp --header 'Authorization: your-value'

claude mcp add ai-rete-rag --env AI_RETE_RAG_API_KEY=your-value --env AI_RETE_RAG_API_URL=your-value -- uvx ai-rete-rag-mcp

{
  "mcpServers": {
    "ai-rete-rag": {
      "url": "https://ai-rete-rag.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "mcpServers": {
    "ai-rete-rag": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

{
  "servers": {
    "ai-rete-rag": {
      "type": "http",
      "url": "https://ai-rete-rag.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "servers": {
    "ai-rete-rag": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

• AI_RETE_RAG_API_KEY 机密 必填 env
  Your ai·rete·rag API key (create one at ai-rete-rag.com under Settings -> API Keys). Authenticates calls and ties them to your plan quota.
• AI_RETE_RAG_API_URL env
  API base URL. Defaults to https://ai-rete-rag.com; override for local development.
• Authorization 机密 HTTP header
  Bearer (ik_...), created at ai-rete-rag.com under Settings -> API Keys. Optional: without it the shared demo domains are still available.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• decide

  Make a deterministic, auditable decision in a domain. The verdict comes from the domain's rule set (Rete engine, never the LLM), so it is reproducible and compliant. The explanation is generated from the domain's ingested policy documents. Without an API key only the shared demo

• list_rules

  List the decision rules for one domain (or all domains). Returns each rule's conditions — either a flat AND list (field / operator / value) or a `when` condition tree (nested all/any/not) — plus its verdict, salience, and any asserted facts (`action.assert`, the facts a rule prod

• get_parameters

  List the input parameters a domain's rules decide on — the facts to collect before calling `decide`. Derived from your account's own copy of the rules, so it covers your custom domains too. Each parameter has its `field` name (the key to use in `facts`), `kind` (number / boolean

• ingest_text

  Add policy/reference text to a domain's knowledge base. The text is chunked and embedded; explanations for future decisions in this domain will cite it. Creating a new domain claims it for your account (plan limits apply). Ingesting into a built-in demo domain gives your account

• list_documents

  List the documents ingested into a domain's knowledge base.

• get_rule_source

  Fetch a domain's rule set as editable YAML (plus the parsed rules and whether you may edit it). Use this before `put_rules` to see the current rules. For a built-in demo domain you get your own copy's rules once you have edited it, otherwise the shared demo's.

• put_rules

  Create or replace a domain's rule set from YAML (self-serve rule authoring). The first save to a new domain claims it for your account (plan limits apply). Saving to a built-in demo domain saves your own copy of it, seeded from the demo; the shared demo others see is unchanged. R

• import_policy_rules

  Convert a written policy document into DRAFT decision rules (LLM-assisted). Returns validated draft rules (when/action, including chained asserts where the policy stages its determinations), derived rule→rule edges, and overlap warnings. Each returned rule carries a `citation` fi

• get_usage

  Show this account's decision usage, plan, and remaining monthly quota.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

• ✓ 通过

  作者与仓库一致

  注册名称已通过域名 ai-rete-rag.com 验证（注册中心会核实域名所有权）

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 328 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 9 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

• 星标数多于此分类中其他 5670 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 5670 个服务器的 66% 更新
• 基础检查结果等于或优于此分类中其他 5670 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

pip install ai-rete-rag-mcp         # from PyPI

claude mcp add ai-rete-rag -e AI_RETE_RAG_API_KEY=ik_your-key-here -- uvx ai-rete-rag-mcp

claude mcp add --transport http ai-rete-rag https://ai-rete-rag.com/mcp \

{