Machine Relations Index

Name: Machine Relations Index
Author: Bramwell-Inc

作者：Bramwell-Inc版本 1.1.0i★ –i在云端运行

注册名称ai.machinerelations/mri

安装

概览

作者提供的说明（英文原文）

Which source domains AI answer engines cite, by buyer category and question shape.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

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: 在云端运行
传输方式: Streamable HTTP
分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://machinerelations.ai/mcp

在终端中运行这条命令

claude mcp add --transport http mri https://machinerelations.ai/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "mri": {
      "url": "https://machinerelations.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "mri": {
      "type": "http",
      "url": "https://machinerelations.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://machinerelations.ai/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

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

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

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6日

✓ 通过
作者与仓库一致
注册名称已通过域名 machinerelations.ai 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
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32410 个服务器的 0%
发布到注册中心的时间比此分类中其他 32410 个服务器的 80% 更新
基础检查结果等于或优于此分类中其他 32410 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。

常见问题

Machine Relations Index 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.1.0）于8天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, debuff

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

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新

安装

debuff

作者：debuffjp

Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Machine Relations plugins

The official Machine Relations skill and plugin helps practitioners choose and draft an evidence-backed authority intervention for a brand or client. It supports AI visibility, GEO/AEO, SEO content discovery and digital PR work, with separate execution checks and intended-outcome tests. No AuthorityTech purchase is required.

The package includes the broader machine-relations skill alongside the existing machine-relations-index research skill. The Machine Relations Index (MRI) by Jaxon Parrott remains neutral public measurement of which source domains AI answer engines cite in sampled buyer answers, by category and question shape. Broader work can also use public or client-supplied evidence without MRI coverage.

The plugin retains the package identifier machine-relations-index and remote MCP server at https://machinerelations.ai/mcp (read-only, no account). It exposes six research tools:

Tool	What it answers
`mri_list_categories`	Which categories, question shapes and source roles the Index covers
`mri_get_category`	One category's question shapes and whether each has published rates
`mri_get_cited_sources`	The ranked source domains AI engines cite for a category and question shape
`mri_get_domain`	How often a site is cited, by which engines, and where it ranks
`mri_list_engines`	Which engines have observations and published evidence
`mri_get_engine`	One engine’s cited-source leaderboard over the observed window, optionally limited to sources with a published segment in a category

Install

Codex

codex plugin marketplace add Bramwell-Inc/machinerelations-plugins

Then install the Machine Relations package (identifier machine-relations-index) from that marketplace. Published directory versions may still display Machine Relations Index; verify that your installed version includes machine-relations before expecting the broader workflow.

Claude Code

/plugin marketplace add Bramwell-Inc/machinerelations-plugins

/plugin install machine-relations-index@machinerelations

Any MCP client: add a remote (streamable HTTP) server with URL https://machinerelations.ai/mcp. It is also listed in the official MCP Registry as ai.machinerelations/mri.

No MCP: the same reads are a JSON API at https://machinerelations.ai/api/mri/v2 (OpenAPI).

An MCP connection alone supplies research tools; it does not install the skill. The broader skill is at plugins/machine-relations-index/skills/machine-relations/SKILL.md for compatible skill hosts. New instructions do not require changing Editor's private method, the App journey or the Index's measurement.

Data

Every response carries its release ID, the artifact hash and a citation string. MRI data is licensed CC BY 4.0. Dataset citation: Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. https://machinerelations.ai/index. https://doi.org/10.5281/zenodo.23652423. Methodology: https://machinerelations.ai/machine-relations-index.

The plugin package in this repository is MIT licensed.

Use and interpretation

Start with the worked example and agent entry point. The example preserves one historical release; it is not a live leaderboard.

Every successful current data read includes source.guidance, the live interpretation rules. The skill directs agents there and to any field-specific method and limitations. Daily data and interpretation updates therefore do not require rebuilding this plugin. Missing or null question context is unavailable, never zero; the service describes what the current release actually contains.

Releases and citation

Every version is released once, from a reviewed pull request, and the release is the single source for everything else:

A pull request that changes the package raises one version in both plugin manifests, every SKILL.md (metadata.version), CHANGELOG.md and CITATION.cff. The Validate and package check enforces that, the exact AuthorityTech descriptor, and that no internal identifiers or secrets reach the README, changelog, citation or packaged plugin files; it also proves fresh installs in Codex and Claude Code. Semver: a minor version adds or graduates a method, a patch corrects wording or metadata, a major version changes a tool or endpoint.
When the bump merges, the same workflow deposits the tested files on Zenodo (it rebuilds library.json with the reserved DOIs and refuses to continue if any other file differs from the tested build), which gives the version its own DOI, then publishes the GitHub release with library.json (every skill, version, DOI and sha256), the plugin ZIP, one archive per skill and SHA256SUMS.
machinerelations.ai/skill and jaxonparrott.com/skills, and their /.well-known/agent-skills/index.json, rebuild from https://github.com/Bramwell-Inc/machinerelations-plugins/releases/latest/download/library.json. Nothing is copied by hand.

Cite the library with its concept DOI, 10.5281/zenodo.23749768 (all versions); cite a version DOI only for work that used that exact version. Both are in library.json and on each release. CITATION.cff gives the author record. The library's Wikidata item is Q141909117.

A skill can carry metadata.title and metadata.summary (a human name and a one-sentence practitioner summary; not the description trigger text). Pages use them when present.

Directory listings (Claude, ChatGPT) update through their own review and can lag the latest release. The remote MCP service owns the Index's data and interpretation; daily data never requires a plugin release. The review/ captures and video are dated evidence, not current API documentation.