MCP serverio.usefulapi/hypertune

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

UNRATEDActivestreamable-httphypertune.usefulapi.io

Overview

Score?

UNRATED 0.118

of what a free look can see, on 17 looks

Looks

last 10 hr ago

Tools

URL

hypertune.usefulapi.io/mcp

streamable-http

Says it is

hypertune-mcp 1.0.1

protocol 2025-06-18

In the record since

32 days ago

0median 0.606 · this server 0.118 · highest on record 0.8561

The tools this server lists, read out of the definition it returned
Tool	Schema
hypertune_evaluate 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 fi	input · no output
hypertune_get_logic 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 s	input · no output
hypertune_introspect 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	input · no output
hypertune_list_flags 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	input · no output
hypertune_query 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	input · no output

Verify it yourselfnpx teppi-check https://hypertune.usefulapi.io/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2PK3RTKG2XY8AGWF9KF6