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io.usefulapi/hypertune

REMOTE · HYPERTUNE.USEFULAPI.IO · SCANNED AUG 3

Evaluate and inspect your Hypertune feature flags from your AI assistant.

+4 this week 73 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 Security78
Transport & Reachability100
Schema Quality & AI Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 607 tokens (~121/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 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
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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 · hypertune.usefulapi.io

# add to Claude Code
claude mcp add --transport http io-usefulapi-hypertune https://hypertune.usefulapi.io/mcp
# ~/.codex/config.toml
[mcp_servers.io-usefulapi-hypertune]
url = "https://hypertune.usefulapi.io/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "io-usefulapi-hypertune": {
      "type": "remote",
      "url": "https://hypertune.usefulapi.io/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add io-usefulapi-hypertune --url https://hypertune.usefulapi.io/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  io-usefulapi-hypertune:
    url: "https://hypertune.usefulapi.io/mcp"
// mcp.json
{
  "mcpServers": {
    "io-usefulapi-hypertune": {
      "type": "http",
      "url": "https://hypertune.usefulapi.io/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.

  • 2 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 +3
    • 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 −2
    • 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 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.

  • 28 Jul 26 +1
    • Stability: unverified → 0.03 functional
  • 27 Jul 26 +57
    • 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 12

    First indexed and scored.

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://hypertune.usefulapi.io/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=usefulapi.io CN=WE1,O=Google Trust Services,C=US 17 Jul 2026 15 Oct 2026 ECDSA 256 ECDSA-SHA256 44c221f4c1fb882913c8a5408beb7fa2
SANs: usefulapi.io, hypertune.usefulapi.io, *.hypertune.usefulapi.io
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of hypertune.usefulapi.io. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
io. present 57355 8 Verified
usefulapi.io. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On tool calls
HTTP status 200

WWW-Authenticate challenge Bearer realm="OAuth", resource_metadata="https://hypertune.usefulapi.io/.well-known/oauth-protected-resource/mcp", error="invalid_token", error_description="Missing or invalid access token"

Bearer realm="OAuth", resource_metadata="https://hypertune.usefulapi.io/.well-known/oauth-protected-resource/mcp", error="invalid_token", error_description="Missing or invalid access token"

Protected resource metadata

Document https://hypertune.usefulapi.io/.well-known/oauth-protected-resource/mcp
Retrieved Yes
Resource https://hypertune.usefulapi.io/mcp
Authorisation server https://hypertune.usefulapi.io
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://hypertune.usefulapi.io/mcp Verified 200
http (plaintext) http://hypertune.usefulapi.io/mcp Inconclusive 401
MCP tools — 5 exposed · ~607 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
hypertune_evaluate ~213

Evaluate one or more feature flags for a given context and get their resolved values. Builds `query { root(context: <context>) { <selection> } }`. Provide `selection` = the flag fields to read (e.g. `exampleFlag anotherFlag { nestedField }`) and `context` = the evaluation context (environment + user/attributes). Every field must supply all of its arguments (Hypertune reduces the flag logic to a JSON result). Use hypertune_list_flags / hypertune_introspect first if you don't know the flag names.

NameTypeReqDescription
contextobjectEvaluation context object, inlined as the `context` arg. e.g. {"environment":"production","user":{"id":"u_123","email":"[email protected]"}}. Omit to return the flag LOGIC instead of a reduced value.
selectionstringyesGraphQL selection of flag fields under root, e.g. `exampleFlag` or `homePage { showBanner } exampleFlag`.

No output schema declared.

No examples provided.

hypertune_get_logic ~127

Fetch the underlying LOGIC of flags without reducing them — i.e. `query { root { <selection> } }` with no context. Returns the flag's conditional expression / rules rather than a single resolved value, useful for inspecting how a flag is configured. If the schema requires a context arg you can still pass a partial one via `context`.

NameTypeReqDescription
contextobjectOptional partial context, inlined as the `context` arg if the schema requires it.
selectionstringyesGraphQL selection of flag fields under root, e.g. `exampleFlag`.

No output schema declared.

No examples provided.

hypertune_introspect ~72

Run a GraphQL introspection query to discover the project's schema — all types and fields, including the available flags and the shape of the evaluation context. Best-effort: some edge deployments disable introspection, in which case this returns a clear error (use hypertune_query with a known flag name instead).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

hypertune_list_flags ~63

List the project's top-level feature flags (the fields of the query root type) with their return types and descriptions, derived from GraphQL introspection. A convenient first call to see what flags exist before evaluating. Requires introspection to be enabled on the edge endpoint.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

hypertune_query ~132

Run an arbitrary GraphQL query (and optional variables) against the Hypertune edge endpoint. Power-user escape hatch for full control — each Hypertune project has its own generated schema, so this handles any flag shape, nested selections, inline enum literals, or variables the convenience tools can't express. The query root field is `root(context: ...)`.

NameTypeReqDescription
querystringyesA complete GraphQL query string, e.g. `query { root(context: {environment: "production"}) { myFlag } }`.
variablesobjectOptional GraphQL variables object matching the query's declared variables.

No output schema declared.

No examples provided.