Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Unofficial CLI and MCP server for the Toptal Talent platform — personal-productivity tool
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"ttctl": {
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add ttctl -- npx -y ttctlPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"ttctl": {
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"ttctl": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ttctl"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub alexey-pelykh, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 5 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Master CSS
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo