HyperStore
REMOTE · MCP.STORE.HYPERGPT.AI · 4 COMPONENTS · SCANNED SEP 20
Search and inspect 6,500+ curated AI apps from the HyperStore directory.
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 → Why this is hard to 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 Usability87
- 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the HyperStore MCP server?
HyperStore is a hosted endpoint at https://mcp.store.hypergpt.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.store.hypergpt.ai
claude mcp add --transport http deficlow-hyperstore-mcp 'https://mcp.store.hypergpt.ai/mcp'
{
"mcpServers": {
"deficlow-hyperstore-mcp": {
"url": "https://mcp.store.hypergpt.ai/mcp"
}
}
} {
"servers": {
"deficlow-hyperstore-mcp": {
"type": "http",
"url": "https://mcp.store.hypergpt.ai/mcp"
}
}
} [mcp_servers.deficlow-hyperstore-mcp] url = "https://mcp.store.hypergpt.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"deficlow-hyperstore-mcp": {
"type": "remote",
"url": "https://mcp.store.hypergpt.ai/mcp",
"enabled": true
}
}
} openclaw mcp add deficlow-hyperstore-mcp --url 'https://mcp.store.hypergpt.ai/mcp' --transport streamable-http
mcp_servers:
deficlow-hyperstore-mcp:
url: "https://mcp.store.hypergpt.ai/mcp" {
"McpServers": {
"deficlow-hyperstore-mcp": {
"Transport": "http",
"Url": "https://mcp.store.hypergpt.ai/mcp"
}
}
} assistant mcp add deficlow-hyperstore-mcp -t streamable-http -u 'https://mcp.store.hypergpt.ai/mcp'
{
"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.
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.
- 26 Aug 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
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 24 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Aug 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
- 7 Aug 26 0
- The server no longer declares the “experimental” capability functional
- 31 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
- 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
- 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
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 20 Sept 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 | 15 Sept 2026 | 14 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 5c1eb63e8ad7c175597857b1c0fd59e60b6 |
| 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 |
Background: What to check on a remote MCP endpoint →
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 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
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 |
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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.
| 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).
| 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).
| 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.
| 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.
| 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'.
| 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.
| 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.
| 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.
| 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 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 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 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').
| 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.
What is the HyperStore MCP server?
HyperStore is an MCP server listed in the public MCP registry as io.github.deficlow/hyperstore-mcp. Search and inspect 6,500+ curated AI apps from the HyperStore directory. This page covers its hosted endpoint (https://mcp.store.hypergpt.ai/mcp).
Is the HyperStore MCP server safe to use?
HyperStore scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the HyperStore MCP server expose?
HyperStore exposes 13 tools: search_apps, ai_search, get_app, list_apps, list_categories, and 8 more. Their descriptions and schemas cost roughly 1,118 tokens of context every time the server is loaded.
Does the HyperStore MCP server require authentication?
No. We connected to HyperStore without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the HyperStore MCP server still maintained?
HyperStore is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.