Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Unofficial CLI and MCP server for the Toptal Talent platform — personal-productivity tool
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"ttctl": {
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}在终端中运行这条命令
claude mcp add ttctl -- npx -y ttctl粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ttctl": {
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ttctl": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 alexey-pelykh 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于5个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, First Sale Scout
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Playbooks and a 14-day checklist for founders winning their first paying customers.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Personal-productivity CLI and MCP server for your own Toptal Talent profile.
TTCtl is NOT affiliated with, endorsed by, or supported by Toptal LLC. It is a personal-productivity tool that interacts with Toptal Talent's web/mobile interfaces using your own session, exclusively for your own profile's data.
This tool is built for fair use and shared in case it's useful to other Toptal talents who want similar tooling for their own profiles. It is NOT to be used for:
If you encounter misuse of TTCtl, please see Abuse reporting in SECURITY.md.
Architectural friction in the codebase (sequential rate limits, single-credential design, no batch parallelism on automation-prone endpoints) is intentional. Don't remove it.
"Toptal" is a trademark of Toptal LLC. The name appears in this project's description as nominative fair use only — TTCtl is not a Toptal brand.
TTCtl gives you (and your AI assistants, via MCP) programmatic access to your own Toptal Talent profile:
applications stats; confirm / reject open Interest Requests via applications confirm / applications reject; fetch interview detail (interviewer with TopChat thread handle, client-side contact, scheduled slot, agenda link, prep-guide ref) via applications interview show ; read your interview prep notes via applications interview notes show ; fetch availability-request detail (status, kind, recruiter Fixed rate, comment, lifecycle timestamps, job) via applications availability-request show engagements statsjobs recommended feed, the per-job jobs match-quality match-score breakdown, and the per-job jobs rate-insight rate-intelligence panel); manage saved / viewed / not-interested signals; configure search subscription; direct-apply via jobs apply --consent (legal-compliance gate is mandatory). Add --suggest-answers to fetch your own historical answers to similar prior questions as advisory autocomplete suggestions (opt-in, off the critical apply path; failures degrade gracefully). The MCP tool ttctl_jobs_apply_similar_answers exposes the same surface to agents.payments summary), and payment methods; show current hourly rate via payments rate current (lightweight) or the unified payments rate show projection; submit rate-change requestsSurfaces are gated to read-heavy / personal use. Operations that would enable mass automation against the platform are deliberately not exposed.
The following Toptal Talent surfaces are out of scope by design — they enable abuse (mass-automation or spam vectors), require third-party SDKs TTCtl doesn't depend on, target client-onboarding rather than the talent-side workflow, belong to staff- or sourcing-side workflows, or are one-time / mobile-only UI affordances with no recurring CLI value:
UpdateJobAlertSettings, UpdateSmsNotificationsSettings, UpdateTimesheetReminderSettings, UpdateNotificationSetting (abuse-prevention — silencing alerts is a precursor to other abuse)applications interview show (full surface tracked in #23)SEND_CONTRACTS, testimonial publishing, snapshot history (staff-side — Toptal-staff surfaces, not talent-side)CreateTalentSignal, GetTalentSignalSetup (sourcing-side — recruiter / staff identifying talent, not talent-side)Note: The
scheduler.toptal.comsurface (interview scheduling) is currently absent rather than out by design — deferred until reverse-engineering research closes.
See What It Does above for the positive scope.
op) for credential resolutionTTCtl uses node-wreq for Chrome TLS-fingerprint impersonation on the Cloudflare-protected surfaces (profile editing). That transport ships as a prebuilt native binary, available for:
| OS | Architecture | libc | Supported |
|---|---|---|---|
| macOS | x64 (Intel) | — | ✅ |
| macOS | arm64 (Apple Silicon) | — | ✅ |
| Linux | x64 | glibc | ✅ |
| Linux | x64 | musl (Alpine) | ✅ |
| Linux | arm64 | glibc | ✅ |
| Linux | arm64 | musl (Alpine) | ❌ not yet |
| Windows | x64 | — | ✅ |
| Windows | arm64 (Windows on ARM) | — | ❌ not yet |
On an unsupported platform, npm install -g ttctl still succeeds (the native binary is an optional dependency) and mobile-gateway commands keep working — but any Cloudflare-protected command (anything that edits your profile) fails with a clear NATIVE_MODULE_UNAVAILABLE error naming your platform and this supported set. If you need one of the two not-yet-supported targets, please open an issue.
npm install -g ttctl
Or run directly with npx:
npx ttctl --help
For maximum supply-chain safety, install with postinstall hooks disabled:
npm install -g --ignore-scripts ttctl
--ignore-scripts blocks preinstall / postinstall / prepare hooks across the entire dependency tree at install time. This prevents a compromised transitive dep (PhantomRaven, Shai-Hulud, etc.) from executing code on your machine during install — closing the most-exploited supply-chain attack vector against package-manager users.
TTCtl itself ships no install-time hooks. Disabling them is purely a defense against malicious behavior in dependencies you don't directly control. See SECURITY § User-install supply-chain hardening.
# 1. Install
npm install -g ttctl
op CLI is installed) or Form B (literal credentials,ttctl auth init
ttctl auth signin
ttctl auth status
ttctl profile show
`ttctl auth init` scaffolds a fresh
~/.ttctl.yamlinteractively. Choose Form A (1Password reference, recommended) or Form B (literal credentials, discouraged — guarded by an explicit warning). On Form A with theopCLI installed, a vault picker and a LOGIN-category item picker run. Withoutopor on JSON-shape failure, the prompt falls back to a freeformop://VAULT/ITEMreference. The output file is written atomically at mode0600and refuses to overwrite an existing file unless--forceis passed. The command is interactive only — pipe stdin or a non-TTY context exits non-zero with a clear message.
`ttctl auth signin` runs the
EmailPasswordSignInGraphQL mutation, captures the session bearer, and writes it BACK into the same~/.ttctl.yamlfile underauth.token(atomic write; comments preserved; mode0600). All subsequent commands replay it asAuthorization: Token token=on every GraphQL request. TheopCLI is invoked only at signin time to resolve your credentials. There is no separate token file — your config and your live session live in one YAML.
Hand-authoring the config also works (drop a YAML file at
~/.ttctl.yaml,chmod 600); see the Configuration section below for the four validauthshapes.ttctl auth initis the recommended starting point.
TTCtl uses a single config file — no profiles. The config-file path is resolved deterministically (highest precedence wins):
--config flag — explicit override (per-invocation).TTCTL_CONFIG_FILE env var — process-scoped (CI, direnv).~/.ttctl.yaml — POSIX home dotfile (only fallback).XDG paths ($XDG_CONFIG_HOME/ttctl/config.yaml, ~/.config/ttctl/config.yaml) and the current-working-directory ./.ttctl.yaml are not auto-discovered. To use a project-local config, point TTCTL_CONFIG_FILE at it via direnv:
# .envrc in your project root (requires `direnv` installed and `direnv allow` run)
export TTCTL_CONFIG_FILE="$PWD/.ttctl.yaml"
TTCtl refuses to persist the captur
只显示了开头部分;其余内容请在仓库中阅读