# HyperStore

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

- name: io.github.deficlow/hyperstore-mcp
- version: 0.1.1
- connection class: R0 (autonomous)
- trust: 89/100
- quality: 83/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.deficlow%2Fhyperstore-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.deficlow%2Fhyperstore-mcp/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

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


## Trust

- hygiene: 95
- liveness: 100
- freshness: 65
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-156d-ago -unpinned-packages(1)
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 83/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 71 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- fail `tools.annotations`: no tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: search_apps (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ai_search (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_homepage (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 1,846 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: 100 (weight 15)

- pass `deps.known_vulns`: no known advisory in 34 resolved packages
- pass `deps.mcp_sdk_version`: mcp 2.2.0, no known advisory
- pass `deps.resolvable`: hyperstore-mcp@0.1.1 resolved: 34 packages

- tools: 13, about 1,846 tokens to load them all
- tool set hash: e3e020e941902a0c920524e2976ba122
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.deficlow/hyperstore-mcp.svg)](https://protogrid.dev/servers/io.github.deficlow/hyperstore-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Dependencies

- pypi hyperstore-mcp@0.1.1: resolved, 33 dependencies, MCP SDK mcp 2.2.0

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0.

## Remotes

- https://mcp.store.hypergpt.ai/mcp (streamable-http, auth none, reachable true, uptime30d 1)
- https://mcp.store.hypergpt.ai/sse (sse, auth unknown, reachable false, uptime30d 0)

## Packages

- pypi hyperstore-mcp@0.1.1
- oci ghcr.io/deficlow/hyperstore-mcp:0.1.1

## Tools (13)

- `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.
- `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).
- `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).
- `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.
- `category_apps`: Get apps within a specific category. Returns the category metadata plus a paginated list of apps in that category, sorted by popularity.
- `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'.
- `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.
- `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.
- `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_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`.
- `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.
- `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`.
- `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').