MCP Radar
Serveur MCP

hypertune

io.usefulapi/hypertune
Outils développeur Public et accessible MCP 2026-07-28

Ce que fait ce MCP

Evaluates, inspects, lists, and queries Hypertune feature flags through its GraphQL endpoint.

Capacités

Outils

5 outils
hypertune_evaluate
Evaluate feature flags
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.
Lecture seule
Schéma d’entrée 
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['selection'], 'properties': {'context': {'type': 'object', 'description': 'Evaluation context object, inlined as the `context` arg. e.g. {"environment":"production","user":{"id":"u_123","email":"a@b.com"}}. Omit to return the flag LOGIC instead of a reduced value.', 'propertyNames': {'type': 'string'}, 'additionalProperties': {}}, 'selection': {'type': 'string', 'description': 'GraphQL selection of flag fields under root, e.g. `exampleFlag` or `homePage { showBanner } exampleFlag`.'}}}
hypertune_get_logic
Get flag logic (unreduced)
Fetch the underlying LOGIC of flags without reducing them — i.e. `query { root { <selection> } }` with no context. Returns the flag's conditional expression / rules rather than a single resolved value, useful for inspecting how a flag is configured. If the schema requires a context arg you can still pass a partial one via `context`.
Lecture seule
Schéma d’entrée 
{'type': 'object', '$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
Introspect the GraphQL schema
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).
Lecture seule
Schéma d’entrée 
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}}
hypertune_list_flags
List feature flags
List the project's top-level feature flags (the fields of the query root type) with their return types and descriptions, derived from GraphQL introspection. A convenient first call to see what flags exist before evaluating. Requires introspection to be enabled on the edge endpoint.
Lecture seule
Schéma d’entrée 
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {}}
hypertune_query
Run a raw GraphQL 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: ...)`.
Lecture seule
Schéma d’entrée 
{'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': {}}}}
Historique

Modifications récentes des outils

Modifié
hypertune_list_flags
1 October 2026 02:43
Modifié
hypertune_introspect
1 October 2026 02:43
Modifié
hypertune_query
1 October 2026 02:43
Modifié
hypertune_get_logic
1 October 2026 02:43
Modifié
hypertune_evaluate
1 October 2026 02:43
Ajouté
hypertune_list_flags
21 September 2026 02:44
Ajouté
hypertune_introspect
21 September 2026 02:44
Ajouté
hypertune_query
21 September 2026 02:44
Ajouté
hypertune_get_logic
21 September 2026 02:44
Ajouté
hypertune_evaluate
21 September 2026 02:44
Découvrir

Serveurs MCP similaires

TinyFn

io.tinyfn/tinyfn

Offers deterministic utility functions for mathematics, conversions, validation, hashing, encoding, arrays, dates, colors, and pa…

hyperion

com.thetempleofdoom.hyperion/hyperion

Acts as a paid MCP tool marketplace and utility gateway with server discovery, HTTP and JavaScript tools, research, data conversi…

Andreax

io.github.moralito311-andr/andreax

Offers pay-per-call AI services for inference, agent and workflow design, OCR and transcription, code generation and review, clas…

Vee3

io.github.Vee3io/vee3

Manages Clerk authentication infrastructure, including users, organizations, domains, sessions, tokens, OAuth, SSO, machines, per…

Courier

io.github.trycourier/courier

Provides notification delivery infrastructure for users, tenants, lists, templates, preferences, journeys, automations, brands, a…

GripForge

io.github.gripforgeai/mcp

Generates, rigs, animates, analyzes, and packages game characters, weapons, armor, effects, environments, and engine-ready assets.

IA-QA — 130+ QA & Dev Tools for AI Agents

io.github.JcJamet/ia-qa-toolbox

Provides deterministic QA, evaluation, testing, code analysis, prompt and RAG checks, model comparison, and web security diagnost…

apis-io

io.apis/apis-io

Provides catalog search, comparison, scoring, enrichment, lists, and dataset exports for APIs, providers, specifications, workflo…