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Computer or cloud★ 34,245MITUpdated 4 days ago
Install
Machine Relations Index
Overview
Description from the maker (original English)
Which source domains AI answer engines cite, by buyer category and question shape.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Developer tools
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- Can do 6 things (tools) mri_list_categories, mri_get_category, mri_get_cited_sources, mri_get_domain …
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://machinerelations.ai/mcpRun this in your terminal
claude mcp add --transport http mri https://machinerelations.ai/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mri": {
"url": "https://machinerelations.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"mri": {
"type": "http",
"url": "https://machinerelations.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://machinerelations.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
mri_list_categoriesList every Machine Relations Index category (e.g. cybersecurity, fintech, enterprise-software, ai-visibility-geo) with the question shapes that have published citation rates, plus the source-role vocabulary. Call this first to get a valid category key.
mri_get_categoryReturn one category's question shapes (best tools, how buyers choose, comparisons, top lists, problem-first research, is it worth it, news) and the evidence state of each: published with rates, collecting, or not collectable.
mri_get_cited_sourcesRanked source domains that AI answer engines cite, pooled across engines, for one category and question shape, with citation rate (share of monitored answer runs citing the domain), rank, percentile and source role (editorial publication, vendor-owned, analyst research, community
mri_get_domainFor one domain or URL, return how often AI answer engines cite it: overall citation rate, the rate on each engine (overall.byEngine: cited runs, that engine's observed runs, and whether the engine's sample clears the evidence floor), confidence tier, rank among all cited domains
mri_list_enginesList each answer engine with the model the release roster names, the engine's observed runs and days, whether that sample clears the evidence floor, and the most-cited source on that engine across the whole window.
mri_get_engineRanked sources one answer engine cites, by that engine's citation rate across the whole window; an engine whose collection changed inside the window also returns collectionRegime, its sources since the change, which is what it cites now. Pass category to limit the list to sources
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain machinerelations.ai (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 199 ms (HTTP 200)
- – Not applicable
Sign-in with OAuth
No sign-in needed
- ✓ Pass
No hidden instructions in tool descriptions
Read 6 tool descriptions and found no hidden instructions to the AI
Compared with others in Developer toolsi
- More stars than 0% of the other 4917 servers in this category
- Published to the registry more recently than 78% of the other 4917 servers in this category
- Basic checks equal to or better than 100% of the other 4917 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Machine Relations Index safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 10 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Desktop Commander
by wonderwhy-er
MCP server for terminal commands, file operations, and process management
Runs on your computer★ 10,225MITUpdated 17 days ago
Install
Cloudflare MCP
by cloudflare
Cloudflare MCP servers
Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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-pluginsThen 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.mdandCITATION.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.jsonwith 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 withlibrary.json(every skill, version, DOI and sha256), the plugin ZIP, one archive per skill andSHA256SUMS. - machinerelations.ai/skill and jaxonparrott.com/skills, and their
/.well-known/agent-skills/index.json, rebuild fromhttps://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.