Hypertune MCP Server

by usefulapi Your server? Claim it

answering

Hypertune is answering right now. Last checked 15 min ago. It exposes 5 tools. Last commit 1 Sep 2026.

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

Uptime history 47 days of history · worst day 17%

47 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

166 ms

Response time

average over 24h

Stars

last commit 1 Sep 2026

What the code does

We read the source, 20 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Page executes code built at runtime portal/index.html:231

        results.innerHTML = order.map(function (g) {

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add hypertune --transport http https://hypertune.usefulapi.io/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

hypertune

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. `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.

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`.

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).

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.

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: ...)`.

Endpoints

URL	Transport	State	Latency	Checked
https://hypertune.usefulapi.io/mcp	streamable-http	answering	296 ms	15 min ago

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Hypertune — questions

Answers built from our own checks of this server.

What can Hypertune do?

It exposes 5 tools, read directly from the server on our last check. Among them: hypertune_evaluate, hypertune_get_logic, hypertune_introspect, hypertune_list_flags, hypertune_query. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Hypertune working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 166 ms. The bar chart above shows every period we have measured.

How do I connect Hypertune?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Hypertune need an API key?

No. Hypertune completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Hypertune?

It answers our handshake in 166 ms on average, which is faster than 73% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Hypertune open source?

Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.