HyperStore

REMOTE · MCP.STORE.HYPERGPT.AI · 4 COMPONENTS · SCANNED AUG 3

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

Available components

remote · mcp.store.hypergpt.ai 69 remote · mcp.store.hypergpt.ai 23 oci · ghcr.io/deficlow/hyperstore-mcp:0.1.1 9 pypi · hyperstore-mcp 13

+3 this week 69 69 Trust /100

Trust breakdown (6 categories)

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. How we score →

Endpoint Security57

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
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. See how to fix → View diagnostics → Unverified
HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability85

100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
AI-judged instruction clarity (excellent).Pass
Tool/resource definitions use about 1201 tokens (~85/item across 14 items; 13 tools + 1 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass
Structured output schemas are declared (23% of tools); any adoption earns full credit.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · mcp.store.hypergpt.ai

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

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

# ~/.codex/config.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
    }
  }
}

# add to OpenClaw

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

# ~/.hermes/config.yaml

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

// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +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.
1 Aug 26 +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.
31 Jul 26 −1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
29 Jul 26 +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.
28 Jul 26 +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.
27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
26 Jul 26 66

First indexed and scored.

Show 7 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://mcp.store.hypergpt.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=mcp.store.hypergpt.ai	CN=YE1,O=Let's Encrypt,C=US	17 Jul 2026	15 Oct 2026	ECDSA 256	ECDSA-SHA384	577e7e9378840c428fd415bec73fd44fb6a
SANs: mcp.store.hypergpt.ai
CN=YE1,O=Let's Encrypt,C=US (CA)	CN=Root YE,O=ISRG,C=US	3 Sept 2025	2 Sept 2028	ECDSA 384	ECDSA-SHA384	5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA)	CN=ISRG Root X2,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	ECDSA-SHA384	872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA)	CN=ISRG Root X1,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	SHA256-RSA	6c8f1dc727c7117f7baf853ac980f9cd

DNSSEC insecure

Validation of mcp.store.hypergpt.ai. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
ai.	present	3799	8	Verified
hypergpt.ai.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://mcp.store.hypergpt.ai/mcp	Verified	200
http (plaintext)	http://mcp.store.hypergpt.ai/mcp	HTTPS enforced	301	https://mcp.store.hypergpt.ai/mcp

MCP tools — 13 exposed · ~1,118 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

ai_search ~67

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 Output Examples

Name	Type	Req	Description
prompt	string	yes	Natural-language description of what the user is looking for.

No output schema declared.

No examples provided.

apps_for_audience ~114

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 Output Examples

Name	Type	Req	Description
cursor	—	—	Pagination cursor (app id from prior page).
limit	integer	—	Max results per page.
slug	string	yes	URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

No output schema declared.

No examples provided.

apps_for_use_case ~108

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 Output Examples

Name	Type	Req	Description
cursor	—	—	Pagination cursor (app id from prior page).
limit	integer	—	Max results per page.
slug	string	yes	URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

No output schema declared.

No examples provided.

browse_apps ~113

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

Input Output Examples

Name	Type	Req	Description
cursor	—	—	Pagination cursor (app id from prior page).
letter	string	yes	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'.

No output schema declared.

No examples provided.

category_apps ~114

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

Input Output Examples

Name	Type	Req	Description
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	yes	URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

No output schema declared.

No examples provided.

get_alternatives ~96

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 Output Examples

Name	Type	Req	Description
limit	integer	—	Max results per page.
slug	string	yes	URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

No output schema declared.

No examples provided.

get_app ~63

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

Input Output Examples

Name	Type	Req	Description
slug	string	yes	URL slug, e.g. 'chatgpt' or 'ai-image-tools'.

No output schema declared.

No examples provided.

get_homepage ~59

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 Output Examples

Name	Type	Req	Description
page	integer	—	Homepage pagination — page 1 returns trending + stats.

No output schema declared.

No examples provided.

list_apps ~131

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 Output Examples

Name	Type	Req	Description
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.

No output schema declared.

No examples provided.

list_audiences ~57

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`.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	array	yes	—

No examples provided.

list_categories ~41

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.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	array	yes	—

No examples provided.

list_use_cases ~60

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`.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
result	array	yes	—

No examples provided.

search_apps ~95

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 Output Examples

Name	Type	Req	Description
cursor	—	—	Pagination cursor (app id from prior page).
limit	integer	—	Max results per page.
query	string	yes	Search query.

No output schema declared.

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

26 Jul 3 Aug

Day	Score
26 Jul	66
27 Jul	66
28 Jul	67
29 Jul	68
30 Jul	68
31 Jul	67
1 Aug	68
2 Aug	68
3 Aug	69