INDIVIDUAL MCP TOOL

hypertune_get_logic

Fetch the underlying LOGIC of flags without reducing them — i.

usefulapi.ionone authenticationAvailability not checked

LIVE ENDPOINT

https://hypertune.usefulapi.io/mcp

No auth detected

Connect to this endpoint to inspect the live schema for hypertune_get_logic and invoke it with your own arguments.

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Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hypertune-mcp]
url = "https://hypertune.usefulapi.io/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "hypertune-mcp": {
      "type": "http",
      "url": "https://hypertune.usefulapi.io/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: hypertune-mcp
Remote MCP URL: https://hypertune.usefulapi.io/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "hypertune-mcp": {
      "type": "http",
      "url": "https://hypertune.usefulapi.io/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "hypertune-mcp",
  "transport": "streamable-http",
  "url": "https://hypertune.usefulapi.io/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

hypertune_evaluate — Evaluate one or more feature flags for a given context and get their resolved values.
hypertune_query — Run an arbitrary GraphQL query (and optional variables) against the Hypertune edge endpoint.
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.