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PopNx MCPMCP servers for people who use AI · explained in plain words

GuestGraph

by guestgraph.ioversion 0.1.0i★ –iRuns in the cloud
Registry nameio.guestgraph/mental-model

Install

Overview

Description from the maker (original English)

GuestGraph: One guest, not five strangers

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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.

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

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:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.guestgraph.io/mcp

Run this in your terminal

claude mcp add --transport http mental-model https://mcp.guestgraph.io/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mental-model": {
      "url": "https://mcp.guestgraph.io/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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mental-model": {
      "type": "http",
      "url": "https://mcp.guestgraph.io/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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.guestgraph.io/mcp

Menu 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 9, 2026. The maker wrote them, not us; we show them as plain text.

  • list_types

    Every type the model's schemas declare. Use first, to learn which types exist before listing or describing one. No input. Returns `types`, each with `type`, `name`, `tagline`, `owner` (the type it nests under, or null) and `count`, the entities it holds.

  • describe_schema

    One type's schema: its sections as written and its declared relations as data. Use to learn what an entity of the type may hold; for the whole vocabulary use describe_relations. Input: `type`. Returns `url`, the schema's own file, `sections`, and `relations`: owner, owns, referen

  • describe_relations

    What the schemas declare between types: references with form and cardinality, ownership, enums, joins, list kinds. Use for a diagram or audit; for one type's full schema use describe_schema. Optional `type` narrows every list, `direction` (declares, declared-to, both; needs `type

  • list_rules

    The vocabulary's conventions the model is held to, R0 onwards, from its core's CONVENTIONS.md. Use to resolve a number a schema or refusal cites, such as R9. A company's own rules are entities of type `rule`: list_entities and get_entity. No input. Returns `tagline`, the file's `

  • describe_rule

    One convention of the vocabulary as written, not a company's own rule (an entity of type `rule`: list_entities, get_entity). Input: `rule`, a number from list_rules such as R9, in either case. Returns `rule`, `title`, `part`, `text` and the file's `url`. An unknown number is refu

  • list_checks

    The checks the model's own gate runs, from the checker release this server was built with. Use to see which rules a script enforces and which are left to a reader. No input. Returns `checks`, each with `name`, `rule`, `title` and what it `reports`, a `failure` or a `note` that fa

  • describe_errors

    What a refused call looks like. A tool's output schema covers its answers only, so use this once, to branch on refusals or validate them. No input. Returns `errors`, every `code` with `when` it is raised and the JSON Schema of its `details`, and `schema`, the JSON Schema of a who

  • list_entities

    Entities with their frontmatter's short facts, in address order or newest first. Use to browse, or for what runs on a date, came last or has a value; to find by words use search. Input: optional `type`, `owner`, `order`, `on`, `by`, `where`, `fields`, `limit`, `cursor`. Returns `

  • get_entity

    One entity as structured data: fields, sections, tables, references both ways. Use to reason over one; for its page as written use fetch. Input: `id` or address, where its page sits, or `type` and `name`; an ambiguous name is refused with candidate ids. Returns `entity`, by id. R

  • list_references

    The model's edges, filtered and paged. Use to inspect one entity's relations or one kind of reference without taking whole entities. Optional `entity` (an id or address), `direction` (out, in, both; needs `entity`), `via`, `type` (the far end's type, or either end's without `enti

  • find_evidence

    Every edge into one skill, grouped by the type of the page that drew it. Use to check a claimed skill against its evidence. Input: `skill`, an id, canonical name or address; optional `limit`, `cursor`. Returns `skill`, `evidence` and `page`; a profile's claim arrives via Skills.S

  • search

    Find entities by words, substring or exact name. `match: "words"` needs every query word's stem in name, tagline, fields, sections or cells; `"text"` (default) is a case-insensitive substring over the same; `"name"` the exact canonical name. Optional `type`, `owner`, `limit`, `cu

  • fetch

    One entity's page as written. Use to quote or display the source; for structured fields and references use get_entity. Input: `id` or address, from search, list_entities or any reference. Returns `id`, `title`, `type`, `url` and `text`, the Markdown source. Takes no name: search

  • diagram

    A picture of the model as Mermaid; edge data: list_references. Input: `shape`; `id`, `domain`, `type` or `unit` narrow it. aggregate, flow, lifecycle take a context's `id`; organization without `id` draws the company; system a landscape, holds its data; usecase, scenario a use ca

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 9, 2026

  • ! Caution

    Maker matches the repo

    The registry lists no source repo, so we cannot match the publisher (guestgraph.io) to the code

  • … 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 152 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 14 tool descriptions and found no hidden instructions to the AI

Compared with others in Otheri

  • More stars than 0% of the other 18677 servers in this category
  • Published to the registry more recently than 51% of the other 18677 servers in this category
  • Basic checks equal to or better than 37% of the other 18677 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 GuestGraph safe?

It passed 2 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 (0.1.0) reached the registry last month.

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: Spec Driven Development, Remote Desktop Commander, Agilitycms MCP

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Agilitycms MCP

An MCP server that provides access to Agility CMS. See https://mcp.agilitycms.com for more details.

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README from the maker

No README found in the repo

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