HyperStore
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.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi4 of 4 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 26/wk · ★ 1
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: Computer or cloud
- Transport: stdio, Streamable HTTP, SSE
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 4 of 4 passed
- Runs on the maker’s server: what you ask it goes through their server.
- Can do 13 things (tools) search_apps, ai_search, get_app, list_apps …
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
- PyPIPython’s uv installed (for the uvx command)
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://mcp.store.hypergpt.ai/mcpOr 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/mcpOr run it on your computer
claude mcp add hyperstore -- uvx hyperstore-mcpOr 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
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.
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
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:
- 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://mcp.store.hypergpt.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.
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
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_appsSearch 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_searchNatural-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_appFetch the full detail page for a single AI app by slug: long description, features, screenshots, categories, pricing, rating, website URL, source attribution.
list_appsPaginated 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_categoriesList 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_appsGet apps within a specific category. Returns the category metadata plus a paginated list of apps in that category, sorted by popularity.
browse_appsBrowse apps A-Z by starting letter. Use letter='#' for apps starting with digits or symbols. Useful for alphabetical discovery rather than search.
get_homepageFetch 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_alternativesGet 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_audiencesList 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_audienceGet 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_casesList 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_caseGet 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
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:
| Tool | Purpose |
|---|---|
search_apps | Full-text keyword search |
ai_search | Embedding-based semantic search |
get_app | Full app detail (features, screenshots, pricing) |
list_apps | Paginated apps with filters (category, pricing) |
list_categories | Browse all 30+ categories |
category_apps | Apps within a category |
browse_apps | A-Z directory listing |
get_homepage | Trending + top categories overview |
get_alternatives | Curated alternatives to an app |
list_audiences | Audience segments (developers, lawyers, …) |
apps_for_audience | Best AI tools for an audience |
list_use_cases | Use-case taxonomies (legal-contracts, …) |
apps_for_use_case | AI tools for a use case |
3 resources:
hyperstore://app/{slug}— markdown rendering of any apphyperstore://category/{slug}— top apps in a categoryhyperstore://catalog— full category index
3 prompts:
find_tool_for_task— guided discovery for a taskcompare_apps— side-by-side app comparisondiscover_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):
| Variable | Default | Purpose |
|---|---|---|
MCP_HOST | 0.0.0.0 | Bind host (http/sse transports) |
MCP_PORT | 8080 | Bind port (http/sse transports) |
LOG_LEVEL | INFO | Logging 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