Hypertune MCP by usefulapi

io.usefulapiPublished by usefulapi.ioOfficial publisherv1.36.4Updated Nov 7, 2026

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

The publisher's own server: Ably MCP by usefulapi

VerifiedStreamable HTTPWeb executableDeveloper ToolsData & Analytics

Overview

AI-generated overview

Hosted MCP server that lets an assistant evaluate Hypertune feature flags, inspect flag logic, and query the project's GraphQL schema.

What you can do
  • Evaluate feature flags for a given context and get resolved values
  • Inspect unreduced flag logic and conditional rules
  • List the project's top-level flags with types and descriptions
  • Run arbitrary GraphQL queries and schema introspection against the Hypertune edge endpoint
  • Check usage, request a missing feature, and manage or cancel the subscription
When to use it
Useful when you work with Hypertune feature flags and want an assistant to answer questions such as which flags exist, what a flag resolves to for a given user or environment, or how a flag is configured, without opening the Hypertune dashboard.
Requirements
A remote MCP endpoint; no local install. Connect with the server URL only and sign in through OAuth, then paste a Hypertune API token on first connect, which is validated and stored per user. No Authorization header or API key goes in the client config.
Before you install
The server asks for a Hypertune API token, which it stores per user. Usage is metered: the free plan allows 50 tool calls per month, and paid plans are billed through a Stripe Checkout link returned by the upgrade tool, with no refund for the current period on cancellation. Meta tools can start or cancel a paid subscription, so confirm before running them.

Installation

In SourceWeft

  1. Open Hypertune MCP by usefulapi in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.usefulapi%2Fhypertune/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

README

Hypertune MCP by usefulapi

Evaluate feature flags, inspect flag logic, and introspect your Hypertune schema from Claude, Cursor, or any MCP client. Hosted, no local install — connect with your Hypertune API token.

Live endpoint: https://hypertune.usefulapi.io/mcp · Homepage: https://usefulapi.io/hypertune

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://hypertune.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http hypertune https://hypertune.usefulapi.io/mcp, then run /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
json
{  "mcpServers": {    "hypertune": {      "url": "https://hypertune.usefulapi.io/mcp"    }  }}

Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your Hypertune credentials.

Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/hypertune/

On first connect you'll paste your Hypertune API token. It's validated, stored per-user, and scoped to you.

Tools

ToolTypeWhat it does
hypertune_evaluatereadEvaluate feature flags
hypertune_get_logicreadGet flag logic (unreduced)
hypertune_queryreadRun a raw GraphQL query
hypertune_introspectreadIntrospect the GraphQL schema
hypertune_list_flagsreadList feature flags
hypertune_usage_statusmetaUsage status (free-tier meter)
hypertune_request_featuremetaRequest a missing feature
hypertune_upgrademetaUpgrade to Pro or Pro+
hypertune_cancel_subscriptionmetaCancel the Pro subscription

read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.

Pricing

PlanPriceLimit
Free$050 tool calls / month
Pro$9/mo or $90/yr (2 months free)Unlimited*

*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].

Pro covers this server only. Subscribe with hypertune_upgrade (it returns a Stripe Checkout link). Cancel any time with hypertune_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running hypertune_upgrade before then undoes the cancel. Or write to [email protected].

License

MIT — see LICENSE. Documentation only; the server is hosted.

Source: servers/hypertune/README.md at commit 4046075

Tools

5

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.

Parameterscontextselectionrequired

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`.

Parameterscontextselectionrequired

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: ...)`.

Parametersqueryrequiredvariables

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).

Takes no parameters.

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.

Takes no parameters.

Version history

21
  1. v1.36.4LatestNov 7, 2026
  2. v1.35.3Nov 5, 2026
  3. v1.35.2Nov 5, 2026
  4. v1.35.1Nov 4, 2026
  5. v1.35.0Nov 3, 2026
  6. v1.34.1Nov 3, 2026
  7. v1.33.0Nov 1, 2026
  8. v1.31.0Oct 31, 2026
  9. v1.30.0Oct 31, 2026
  10. v1.29.2Oct 30, 2026
  11. v1.29.0Oct 30, 2026
  12. v1.24.0Oct 26, 2026
  13. v1.21.3Oct 25, 2026
  14. v1.21.0Oct 25, 2026
  15. v1.20.0Oct 24, 2026
  16. v1.17.0Oct 23, 2026
  17. v1.16.4Oct 22, 2026
  18. v1.16.3Oct 21, 2026
  19. v1.11.1Oct 9, 2026
  20. v1.10.0Oct 9, 2026
  21. v1.0.1Sep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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