io.usefulapi/hypertune

up checked 2026-11-11T07:40:19.615Z

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Publisher-provided title

Hypertune MCP by usefulapi

Publisher-provided description

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

Summary by lookupd

Lets an agent list, evaluate, and inspect feature flags and their logic, plus run GraphQL queries against a flag project's schema.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http hypertune https://hypertune.usefulapi.io/mcp

Codex, remote (streamable-http)

codex mcp add hypertune --url https://hypertune.usefulapi.io/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "hypertune": {
      "url": "https://hypertune.usefulapi.io/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

hypertune_evaluate Evaluate one or more feature flags for a given context and get their resolved values. Builds `query { root(context: <context>) { <selection> } }`. Provide `sele
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 / r
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 h
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
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 c

Shows this live status and links here; updates hourly.

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