mcpbeat

Hypertune MCP Server

io.usefulapi/hypertune
answering

Hypertune is answering right now. Last checked 7 min ago. It exposes 5 tools. Last commit 1 Aug 2026.

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

Uptime history 41 hours of history · worst hour 0%
41 hours agonow
29.7%
Uptime 24h
27 of 91 checks
5
Tools
read from the server
201 ms
Response time
average over 24h
0
Stars
last commit 1 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

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

URLTransportStateLatencyChecked
https://hypertune.usefulapi.io/mcp streamable-http answering 194 ms 7 min ago

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 27 of 91 checks got a reply (29.7%), average response time 201 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 201 ms on average, which is faster than 62% 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.