Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Evaluate and inspect your Hypertune feature flags from your AI assistant.
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Works in Claude on the web, desktop and mobile:
https://hypertune.usefulapi.io/mcpRun this in your terminal
claude mcp add --transport http hypertune https://hypertune.usefulapi.io/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"hypertune": {
"url": "https://hypertune.usefulapi.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"hypertune": {
"type": "http",
"url": "https://hypertune.usefulapi.io/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://hypertune.usefulapi.io/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
hypertune_evaluateEvaluate one or more feature flags for a given context and get their resolved values. Builds `query { root(context: ) { } }`. Provide `selection` = the flag fields to read (e.g. `exampleFlag anotherFlag { nestedField }`) and `context` = the evaluation context (environment + user/
hypertune_get_logicFetch the underlying LOGIC of flags without reducing them — i.e. `query { root { } }` 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 c
hypertune_queryRun 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 c
hypertune_introspectRun 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_quer
hypertune_list_flagsList 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 endpoin
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain usefulapi.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 6 ms (HTTP 200)
No sign-in needed
Read 5 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.35.3) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
https://hypertune.usefulapi.io/mcp.claude mcp add --transport http hypertune https://hypertune.usefulapi.io/mcp, then run /mcp to log in.{
"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.
| Tool | Type | What it does |
|---|---|---|
hypertune_evaluate | read | Evaluate feature flags |
hypertune_get_logic | read | Get flag logic (unreduced) |
hypertune_query | read | Run a raw GraphQL query |
hypertune_introspect | read | Introspect the GraphQL schema |
hypertune_list_flags | read | List feature flags |
hypertune_usage_status | meta | Usage status (free-tier meter) |
hypertune_request_feature | meta | Request a missing feature |
hypertune_upgrade | meta | Upgrade to Pro or Pro+ |
hypertune_cancel_subscription | meta | Cancel 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.
| Plan | Price | Limit |
|---|---|---|
| Free | $0 | 50 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 support@usefulapi.io.
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 support@usefulapi.io.
MIT — see LICENSE. Documentation only; the server is hosted.