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Hypertune MCP by usefulapi

io.usefulapi/hypertune

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

This endpoint completed initialize and tools/list. No tool was called.

Rank
#1823
Score
82
Tool tokens
957
Tools
5

Tools

Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.

  • 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 fields to read (e.g. `

  • 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 single resolved value

  • 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 schema, so this han

  • 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 edge deployments dis

  • 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 to see what flags e

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