
ClockNext
io.github.ClockNext由 GitHub 帳號 ClockNext 發布v0.6.0更新於 Nov 10, 2026
Meter usage and manage usage-based billing from AI tools via the ClockNext API.
概覽
讓助理查看與設定 ClockNext 用量計費:模型、方案、額度、客戶與用量紀錄。
- 可以做什麼
- 提供存取 ClockNext 計費 API 的工具:辨識金鑰所屬組織以及處於沙箱還是正式環境,列出已啟用模型與每百萬 token 的美元價格,啟用型錄中的模型,並讀取客戶的用量紀錄、餘額與目前方案。也涵蓋型錄的增刪改查(方案、額度、成果、單位)、客戶工具(create_customer、create_purchase、bulk_import_customers),以及文件搜尋。它只設定計費,不負責計量;真正的用量訊號由產品本身的程式碼透過 ClockNext SDK 送出。
- 適用情境
- 當助理需要為某個組織建置或檢查 ClockNext 用量計費時使用:查看有哪些模型與方案、建立客戶與購買紀錄,或確認產品程式碼送出的用量訊號是否真的送達。它面向導入引導與計費管理,而不是執行時計量。
- 執行需求
- 透過 stdio 在本機執行,通常使用 npx -y @clocknext/mcp,因此需要 Node.js 以及連線 ClockNext API 的網路。必須在 CLOCKNEXT_API_KEY 環境變數中提供 ClockNext 組織 API 金鑰。選用的 CLOCKNEXT_BASE_URL 與 CLOCKNEXT_DOCS_URL 可覆寫 API 與文件來源。僅支援桌面端,沒有託管端點。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 ClockNext,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
@clocknext/mcp
The Clocknext MCP server — meter usage, verify signals, and manage usage‑based billing directly from AI coding tools (Claude Code, Cursor, Codex, Antigravity, …) and any other Model Context Protocol client.
It runs locally over stdio: your AI tool spawns it as a subprocess, and your
organisation's cnk_… API key stays in the server's environment — never in the
model's context.
This repo ships two things:
- the MCP server (
@clocknext/mcp) — the tools an agent calls. - the
clocknext-onboardingskill — the step‑by‑step playbook that drives a full setup using those tools (human‑in‑the‑loop, sandbox‑first).
Install them together (the Claude Code plugin) or separately. Pick by what you want and which agent you're on:
The skill and the MCP server work together — the skill drives the tools — so for the full guided experience install both (or just use the plugin, which bundles them). The plugin is the one‑command option, but Claude Code only.
A Clocknext API key is required for the tools: Settings → API Keys →
cnk_…. It is a server‑side secret — keep it in env/secret config, never in client code or a repo.
1 — The skill (every AI coding agent)
The clocknext-onboarding skill is the guided playbook (detect models →
entitlements → plan → meter the codebase → test with a dummy customer). It
drives the MCP tools, so install the MCP server too (§2 below) — the skill
on its own has nothing to call.
Install it with npx skills — one command, works
across Claude Code, Cursor, Codex, Windsurf, Gemini, Antigravity, VS Code, and
~20 other agents. Target your agent with --agent so it lands where that
agent actually looks:
Swap claude-code for cursor, codex, windsurf, … (or * for every
detected agent). npx skills list shows what's installed;
npx skills remove clocknext-onboarding removes it. After installing, restart
the agent — most load skills at startup.
Claude Code, read this. Claude Code only loads skills from
~/.claude/skills/,.claude/skills/, or a plugin — not the CLI's default universal.agents/skills/folder. So you must pass--agent claude-code(as above), which installs to~/.claude/skills/(with--global) or.claude/skills/. A barenpx skills add …puts it in.agents/skills/, where Claude Code will never see it. Simplest of all for Claude Code: use the plugin — it registers the skill natively and wires the MCP in one step.
Manual install (no CLI)
Copy the folder from the repo into your agent's skills directory:
For tools without a native skills folder (Cursor / Windsurf / Codex / Antigravity),
point their rules file at skills/clocknext-onboarding/SKILL.md — e.g.
.cursor/rules/clocknext-onboarding.md, Windsurf Rules, or AGENTS.md. Keep the
references/*.md files alongside SKILL.md.
2 — The MCP server (every AI coding agent)
Gives you the tools the skill (and you) call — one stdio server,
npx -y @clocknext/mcp, with your CLOCKNEXT_API_KEY in its env.
Most clients take the standard block below — same JSON, they just differ on the file it goes in:
CLI agents
Claude Code — one command:
Gemini CLI — ~/.gemini/settings.json → the standard block.
Codex — ~/.codex/config.toml:
GitHub Copilot CLI — copilot mcp add, or ~/.copilot/mcp-config.json:
OpenCode — ~/.config/opencode/opencode.json (note: mcp root, command
is an array, env is environment):
Factory (Droid) — droid mcp add, or the standard block in its config
with "type": "stdio" added to the server:
Kimi Code — kimi mcp add clocknext -- npx -y @clocknext/mcp (set
CLOCKNEXT_API_KEY in the environment; config lives in ~/.kimi/config.toml).
IDEs
Cursor — .cursor/mcp.json (project) or ~/.cursor/mcp.json (global) → the
standard block.
Windsurf — ~/.codeium/windsurf/mcp_config.json → the standard block.
Antigravity — its MCP settings JSON → the standard block.
Kiro — .kiro/settings/mcp.json (project) or ~/.kiro/settings/mcp.json
(user) → the standard block. Kiro doesn't inherit your shell PATH, so if
npx isn't found, use its full path (which npx).
VS Code (native MCP / Copilot) — .vscode/mcp.json (uses servers, not
mcpServers):
Any other MCP client — point it at the stdio command npx -y @clocknext/mcp
with CLOCKNEXT_API_KEY in env. @clocknext/mcp is also in the official
MCP Registry as
io.github.Clocknext-Inc/mcp, so registry‑aware clients can discover it directly.
(The older entry io.github.Clocknext/mcp stops at 0.13.0: the GitHub
organisation was renamed to Clocknext-Inc, and the registry only lets it publish
under its own name.)
Environment
3 — The Claude Code plugin (Claude Code only)
The one‑command option — installs the MCP server and the clocknext-onboarding
skill together, and wires the API key for you. Claude Code only (the plugin
format is Claude Code's; other agents use §1 + §2 above).
Claude Code prompts for your Clocknext API key at install (stored securely), runs
the bundled server, and auto‑discovers the skill from the plugin's skills/
folder. Verify:
/mcp→ theclocknexttools are listed.- The skill triggers automatically when you start any Clocknext work (or check your installed skills).
No manual config, no env vars, nothing to build.
Tools
Plus catalogue CRUD (create_plan / create_credit / create_outcome /
create_unit …), customer tools (create_customer, create_purchase,
bulk_import_customers), and the docs tools (search_docs, get_doc). Run
/mcp to see the full list.
A typical agent flow: whoami → list_models → get_customer_plan (confirm
the plan, and that every model and agent key the code will send resolves) → run
the product's own code so it fires a real signal through @clocknext/sdk →
the SDK's signals.usageLog({ customerId }) (confirm it landed). The clocknext-onboarding skill
orchestrates all of this.
The MCP configures billing but never meters it. There is no record/track
tool by design, and no preview either: real signals come from your product's
code via the SDK (signals.credit / .wallet / .outcome), which is also the
only thing that proves the integration end-to-end. The SDK's signals.usageLog()
is the proof one landed; the MCP has no usage-read tool.
Development
Built on the official @modelcontextprotocol/sdk, with its own small fetch
client for the Clocknext API (src/api.ts), all bundled into dist/ by tsup. stdio today; a hosted Streamable‑HTTP variant is planned.
Logs go to stderr (stdout is the protocol channel). The committed dist/ is
what the plugin runs — rebuild and commit it on any code change.
Releasing (maintainers) — automated
A tag push publishes both the npm package and the official MCP Registry entry,
via .github/workflows/publish-mcp.yml:
The workflow checks the tag matches package.json, builds, npm publishes (with
provenance), then authenticates to the registry with GitHub OIDC (no secret)
and publishes server.json. It hosts only metadata pointing at the npm package,
so the npm publish runs first.
One‑time setup: add an NPM_TOKEN secret (repo → Settings → Secrets → Actions).
To drop the token entirely, configure npm trusted publishing (OIDC) for
@clocknext/mcp on npmjs.com and delete the NODE_AUTH_TOKEN line.
Manual release (no CI)
See the MCP Registry docs.
來源:README.md,提交 e8ecff6
工具
0版本歷史
1- v0.6.0最新Sep 16, 2026
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