Hypertune MCP by usefulapi

io.usefulapi由 usefulapi.io 发布官方发布者v1.36.5更新于 Nov 8, 2026

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

发布方自己的服务:Ably MCP by usefulapi

已验证Streamable HTTP可网页运行开发者工具数据与分析

概览

AI 生成的概览

托管式 MCP 服务器,让助手评估 Hypertune 功能开关、查看开关逻辑并查询项目的 GraphQL schema。

可以做什么
  • 按给定上下文评估功能开关并取得解析后的值
  • 查看未经化简的开关逻辑与条件规则
  • 列出项目顶层的开关及其类型和描述
  • 对 Hypertune 边缘端点执行任意 GraphQL 查询与 schema 内省
  • 查看用量、提交功能请求,以及管理或取消订阅
适用场景
当你使用 Hypertune 功能开关,并希望助手直接回答有哪些开关、某个开关对特定用户或环境返回什么值、某个开关是如何配置的等问题,而不必打开 Hypertune 控制台时适用。
运行要求
需要远程 MCP 端点,无需本地安装。配置时只填服务器 URL,通过 OAuth 登录,首次连接时粘贴 Hypertune API 令牌,令牌会被校验并按用户存储。客户端配置中不要添加 Authorization 头或 API 密钥。
安装前请注意
服务器会索取 Hypertune API 令牌并按用户存储。用量按调用计费:免费方案每月 50 次工具调用,付费方案通过升级工具返回的 Stripe 结账链接付款,取消时当期不退款。元工具可以开通或取消付费订阅,执行前请先确认。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Hypertune MCP by usefulapi,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.usefulapi%2Fhypertune/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源:servers/hypertune/README.md,提交 4046075

工具

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.

输入参数contextselection必填

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`.

输入参数contextselection必填

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: ...)`.

输入参数query必填variables

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).

无需输入参数。

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.

无需输入参数。

版本历史

21
  1. v1.36.4Nov 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

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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