# HyperStore (remote · mcp.store.hypergpt.ai)

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

- Trust score: 69/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.store.hypergpt.ai`: 69/100 (this document), [markdown](https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp.md), [page](https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp)
- remote · `mcp.store.hypergpt.ai`: 23/100, [markdown](https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp-2.md), [page](https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp-2)
- oci · `ghcr.io/deficlow/hyperstore-mcp:0.1.1`: 9/100, [markdown](https://verifymcp.io/servers/deficlow-hyperstore-mcp/ghcr-io-deficlow-hyperstore-mcp-0-1-1.md), [page](https://verifymcp.io/servers/deficlow-hyperstore-mcp/ghcr-io-deficlow-hyperstore-mcp-0-1-1)
- pypi · `hyperstore-mcp`: 13/100, [markdown](https://verifymcp.io/servers/deficlow-hyperstore-mcp/hyperstore-mcp.md), [page](https://verifymcp.io/servers/deficlow-hyperstore-mcp/hyperstore-mcp)

## Channel facts

- Endpoint: `https://mcp.store.hypergpt.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 85/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 1201 tokens (~85/item across 14 items; 13 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (23% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

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

### Codex

```toml
[mcp_servers.deficlow-hyperstore-mcp]
url = "https://mcp.store.hypergpt.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "deficlow-hyperstore-mcp": {
      "type": "remote",
      "url": "https://mcp.store.hypergpt.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add deficlow-hyperstore-mcp --url https://mcp.store.hypergpt.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  deficlow-hyperstore-mcp:
    url: "https://mcp.store.hypergpt.ai/mcp"
```

### Other

```json
{
  "mcpServers": {
    "deficlow-hyperstore-mcp": {
      "type": "http",
      "url": "https://mcp.store.hypergpt.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 67, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 68, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 66, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 66)

First indexed and scored.

## MCP tools (13)

### `search_apps` (~95 tokens)

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').

Input parameters:

- `cursor`: Pagination cursor (app id from prior page).
- `limit` (integer): Max results per page.
- `query` (string, required): Search query.

### `ai_search` (~67 tokens)

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.

Input parameters:

- `prompt` (string, required): Natural-language description of what the user is looking for.

### `get_app` (~63 tokens)

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

Input parameters:

- `slug` (string, required): URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

### `list_apps` (~131 tokens)

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.

Input parameters:

- `category`: Optional category slug to filter by.
- `cursor`: Pagination cursor (app id from prior page).
- `limit` (integer): Max results per page.
- `pricing`: Filter by pricing model: 'free', 'freemium', 'paid', 'free-trial', 'subscription', or 'one-time'.
- `query`: Optional keyword filter.

### `list_categories` (~41 tokens)

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.

Output parameters:

- `result` (array)

### `category_apps` (~114 tokens)

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

Input parameters:

- `cursor`: Pagination cursor (app id from prior page).
- `limit` (integer): Max results per page.
- `pricing`: Filter by pricing model: 'free', 'freemium', 'paid', 'free-trial', 'subscription', or 'one-time'.
- `slug` (string, required): URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

### `browse_apps` (~113 tokens)

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

Input parameters:

- `cursor`: Pagination cursor (app id from prior page).
- `letter` (string, required): A single letter A-Z, or '#' for digits/symbols.
- `limit` (integer): Max results per page.
- `pricing`: Filter by pricing model: 'free', 'freemium', 'paid', 'free-trial', 'subscription', or 'one-time'.

### `get_homepage` (~59 tokens)

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.

Input parameters:

- `page` (integer): Homepage pagination — page 1 returns trending + stats.

### `get_alternatives` (~96 tokens)

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'.

Input parameters:

- `limit` (integer): Max results per page.
- `slug` (string, required): URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

### `list_audiences` (~57 tokens)

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`.

Output parameters:

- `result` (array)

### `apps_for_audience` (~114 tokens)

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).

Input parameters:

- `cursor`: Pagination cursor (app id from prior page).
- `limit` (integer): Max results per page.
- `slug` (string, required): URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

### `list_use_cases` (~60 tokens)

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`.

Output parameters:

- `result` (array)

### `apps_for_use_case` (~108 tokens)

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).

Input parameters:

- `cursor`: Pagination cursor (app id from prior page).
- `limit` (integer): Max results per page.
- `slug` (string, required): URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp#diagnostics

## Score history

- 2026-08-03: 69
- 2026-08-02: 68
- 2026-08-01: 68
- 2026-07-31: 67
- 2026-07-30: 68
- 2026-07-29: 68
- 2026-07-28: 67
- 2026-07-27: 66
- 2026-07-26: 66

## Links

- Remote endpoint: https://mcp.store.hypergpt.ai/mcp
- Repository: https://github.com/deficlow/HyperStore-MCP
- Website: https://store.hypergpt.ai/
- Changelog RSS feed: https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/deficlow-hyperstore-mcp/mcp