# hypertune MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/io-usefulapi-hypertune
- Repository: https://github.com/m190/usefulapi-mcp

## Install
- Endpoint: https://hypertune.usefulapi.io/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://hypertune.usefulapi.io/mcp

## Tools
- 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. Endpoint: https://hypertune.usefulapi.io/mcp
- 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`. Endpoint: https://hypertune.usefulapi.io/mcp
- 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: ...)`. Endpoint: https://hypertune.usefulapi.io/mcp
- 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). Endpoint: https://hypertune.usefulapi.io/mcp
- 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. Endpoint: https://hypertune.usefulapi.io/mcp

## Resources
Not captured

## Prompts
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## Metadata
- Owner: io.usefulapi
- Version: 1.0.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jul 17, 2026
- Source: https://registry.modelcontextprotocol.io