Hypertune MCP by usefulapi

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

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hypertune_evaluate Read-only

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.

selectionstring, required

GraphQL selection of flag fields under root, e.g. `exampleFlag` or `homePage { showBanner } exampleFlag`.

contextobject

Evaluation 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.

Tools (5)

hypertune_evaluate

read-only

Argument	Type	Description
context	object	Evaluation 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.
selection*	string	GraphQL selection of flag fields under root, e.g. `exampleFlag` or `homePage { showBanner } exampleFlag`.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "selection"
  ],
  "properties": {
    "context": {
      "type": "object",
      "description": "Evaluation 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.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {}
    },
    "selection": {
      "type": "string",
      "description": "GraphQL selection of flag fields under root, e.g. `exampleFlag` or `homePage { showBanner } exampleFlag`."
    }
  }
}

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, useful for inspecting how a flag is configured. If the schema requires a context arg you can still pass a partial one via `context`.

read-only

Argument	Type	Description
context	object	Optional partial context, inlined as the `context` arg if the schema requires it.
selection*	string	GraphQL selection of flag fields under root, e.g. `exampleFlag`.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "selection"
  ],
  "properties": {
    "context": {
      "type": "object",
      "description": "Optional partial context, inlined as the `context` arg if the schema requires it.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {}
    },
    "selection": {
      "type": "string",
      "description": "GraphQL selection of flag fields under root, e.g. `exampleFlag`."
    }
  }
}

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 disable introspection, in which case this returns a clear error (use hypertune_query with a known flag name instead).

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}

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 exist before evaluating. Requires introspection to be enabled on the edge endpoint.

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}

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 handles any flag shape, nested selections, inline enum literals, or variables the convenience tools can't express. The query root field is `root(context: ...)`.

read-only

Argument	Type	Description
query*	string	A complete GraphQL query string, e.g. `query { root(context: {environment: "production"}) { myFlag } }`.
variables	object	Optional GraphQL variables object matching the query's declared variables.

Input schema (JSON)

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "A complete GraphQL query string, e.g. `query { root(context: {environment: \"production\"}) { myFlag } }`."
    },
    "variables": {
      "type": "object",
      "description": "Optional GraphQL variables object matching the query's declared variables.",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {}
    }
  }
}