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

HyperStore

by deficlowversion 0.1.1i★ 1iComputer or cloud
Registry nameio.github.deficlow/hyperstore-mcp

Install

Overview

Description from the maker (original English)

Search and inspect 6,500+ curated AI apps from the HyperStore directory.

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://…3Connect4
https://mcp.store.hypergpt.ai/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "hyperstore": {
      "command": "uvx",
      "args": [
        "hyperstore-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http hyperstore https://mcp.store.hypergpt.ai/mcp

Or run it on your computer

claude mcp add hyperstore -- uvx hyperstore-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "hyperstore": {
      "url": "https://mcp.store.hypergpt.ai/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "hyperstore": {
      "command": "uvx",
      "args": [
        "hyperstore-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": {
    "hyperstore": {
      "type": "http",
      "url": "https://mcp.store.hypergpt.ai/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "hyperstore": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hyperstore-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://…3Connect4
https://mcp.store.hypergpt.ai/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.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

  • search_apps

    Search HyperStore's AI apps directory by keyword. Returns a paginated list of matching apps with name, slug, short description, pricing, and rating. Use this when the user gives concrete keywords (e.g. 'image upscaler', 'code copilot').

  • ai_search

    Natural-language semantic search powered by embeddings. Best for fuzzy intent ('a tool that helps me write Python tests', 'something like Midjourney but free'). Returns up to 12 apps ranked by semantic similarity.

  • get_app

    Fetch the full detail page for a single AI app by slug: long description, features, screenshots, categories, pricing, rating, website URL, source attribution.

  • list_apps

    Paginated apps listing with optional filters. Combine `category`, `pricing`, and a free-text `query` to drill down. Returns apps sorted by popularity. Use `cursor` (last app id from previous page) to paginate.

  • list_categories

    List all HyperStore categories with app counts. Use this first when the user asks 'what kinds of AI tools are there?' or to discover available category slugs.

  • category_apps

    Get apps within a specific category. Returns the category metadata plus a paginated list of apps in that category, sorted by popularity.

  • browse_apps

    Browse apps A-Z by starting letter. Use letter='#' for apps starting with digits or symbols. Useful for alphabetical discovery rather than search.

  • get_homepage

    Fetch the HyperStore homepage payload: top categories with their featured apps, the trending apps strip, and totals. Good first call to give the user a broad overview.

  • get_alternatives

    Get curated alternatives to a specific AI app by slug. Returns the app plus a list of competing/similar tools ranked by match confidence. Use this when the user asks 'what are alternatives to X', 'something like X', or 'X vs others'.

  • list_audiences

    List the audience segments HyperStore curates tools for (e.g. 'developers', 'lawyers', 'students'), each with a slug and app count. Call this first to discover audience slugs for `apps_for_audience`.

  • apps_for_audience

    Get the best AI tools for a specific audience by slug (from `list_audiences`), ranked by relevance then popularity. Use when the user asks 'best AI tools for {role/profession}'. Paginate with `cursor` (last app id from the previous page).

  • list_use_cases

    List the use-case taxonomies HyperStore curates tools for (e.g. 'legal-contracts', 'tiktok-shorts'), each with a slug and app count. Call this first to discover use-case slugs for `apps_for_use_case`.

  • apps_for_use_case

    Get AI tools for a specific use case by slug (from `list_use_cases`), ranked by relevance then popularity. Use when the user asks 'AI tools for {task}'. Paginate with `cursor` (last app id from the previous page).

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 10, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account deficlow, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 5 months ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 282 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 13 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 73% of the other 5875 servers in this category
  • Published to the registry more recently than 13% of the other 5875 servers in this category
  • Basic checks equal to or better than 100% of the other 5875 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 HyperStore safe?

It passed 4 of 4 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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed 5 months ago, and the latest version (0.1.1) reached the registry 6 months 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: Ruflo, Context7, Metabase

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.4KUpdated today

Runs on your computer

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.4KUpdated yesterday

Computer or cloud

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

by metabaseWidely used★ 50.3KUpdated 6 months ago

Runs in the cloud

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.

HyperStore MCP

Plug 6,500+ AI apps into any LLM via the Model Context Protocol.

HyperStore is a curated directory of 6,500+ AI applications, developed by HyperGPT. This MCP server exposes the HyperStore catalog to any LLM client — Claude, ChatGPT, Cursor, Windsurf, Cline, Zed, Gemini, and anything else that speaks MCP.

Ask your LLM:

*"Find me a free AI tool that summarises PDFs."*

*"Compare ChatGPT, Claude, and Gemini side-by-side."*

*"Show me the top 5 image-generation apps with an API."*

The LLM calls HyperStore MCP behind the scenes and answers with up-to-date, curated results.


What you get

13 tools:

ToolPurpose
search_appsFull-text keyword search
ai_searchEmbedding-based semantic search
get_appFull app detail (features, screenshots, pricing)
list_appsPaginated apps with filters (category, pricing)
list_categoriesBrowse all 30+ categories
category_appsApps within a category
browse_appsA-Z directory listing
get_homepageTrending + top categories overview
get_alternativesCurated alternatives to an app
list_audiencesAudience segments (developers, lawyers, …)
apps_for_audienceBest AI tools for an audience
list_use_casesUse-case taxonomies (legal-contracts, …)
apps_for_use_caseAI tools for a use case

3 resources:

  • hyperstore://app/{slug} — markdown rendering of any app
  • hyperstore://category/{slug} — top apps in a category
  • hyperstore://catalog — full category index

3 prompts:

  • find_tool_for_task — guided discovery for a task
  • compare_apps — side-by-side app comparison
  • discover_category — explore a topic

Install

Option A — uvx (zero install, recommended)

Requires uv. One command and you're done:

uvx hyperstore-mcp
Option B — pipx
pipx install hyperstore-mcp

hyperstore-mcp

Option C — Docker (for remote hosting)
docker run --rm -p 8080:8080 ghcr.io/deficlow/hyperstore-mcp

Now MCP Streamable HTTP at http://localhost:8080/mcp

Option D — Hosted endpoint (no install)

Use our managed Streamable HTTP server:

https://mcp.store.hypergpt.ai/mcp

Connect from your LLM client

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } } }

Restart Claude → tools appear in the 🛠 menu.

Claude Code
claude mcp add hyperstore -- uvx hyperstore-mcp
Cursor

.cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{

"mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } } }

Windsurf

~/.codeium/windsurf/mcp_config.json:

{

"mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } } }

Cline (VS Code)

settings.json:

{

"cline.mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } } }

Zed

~/.config/zed/settings.json:

{

"context_servers": { "hyperstore": { "command": { "path": "uvx", "args": ["hyperstore-mcp"] } } } }

Gemini CLI

~/.gemini/settings.json:

{

"mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } } }

ChatGPT (Pro / Team / Enterprise)

Settings → Connectors → Add custom connector:

  • Name: HyperStore
  • MCP Server URL: https://mcp.store.hypergpt.ai/mcp
  • Authentication: None
OpenAI Responses API
from openai import OpenAI

client = OpenAI() response = client.responses.create( model="gpt-4.1", tools=[{ "type": "mcp", "server_label": "hyperstore", "server_url": "https://mcp.store.hypergpt.ai/mcp", "require_approval": "never", }], input="Find me 3 free AI tools for writing unit tests.", ) print(response.output_text)

Anthropic Messages API
from anthropic import Anthropic

client = Anthropic() response = client.messages.create( model="claude-opus-4-7", max_tokens=1024, mcp_servers=[{ "type": "url", "url": "https://mcp.store.hypergpt.ai/mcp", "name": "hyperstore", }], messages=[{"role": "user", "content": "Top 5 AI image generators?"}], )

See examples/ for ready-to-paste configs for every supported client.


Self-hosting

For self-hosting, use the Docker image. For direct invocation without Docker, the CLI accepts --transport http|sse (see hyperstore-mcp --help).


Configuration

When self-hosting, these environment variables can be set (see .env.example for the full list):

VariableDefaultPurpose
MCP_HOST0.0.0.0Bind host (http/sse transports)
MCP_PORT8080Bind port (http/sse transports)
LOG_LEVELINFOLogging level (DEBUG, INFO, WARNING, ERROR)

Development

git clone https://github.com/deficlow/HyperStore-MCP

cd HyperStore-MCP uv sync --all-extras uv run pytest uv run hyperstore-mcp # stdio mode for local testing

Inspect the running server with the official MCP Inspector:

npx @modelcontextprotocol/inspector uvx hyperstore-mcp

How it works

HyperStore MCP is a thin async wrapper around the HyperStore public REST API. It is read-only — no credentials, no writes, no PII. The same data that powers the website powers the MCP server. Updates land in your LLM the moment they land on the site.

LLM client ──MCP──▶ hyperstore-mcp ──HTTPS──▶ store.hypergpt.ai/api

License

MIT © HyperGPT