GitHub
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Descripción del creador (original en inglés)
Rank a GitHub repo's dependents by stars or trust heuristic, and search their code
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.
DEP_RANK_TOKENLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
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": {
"dep-rank": {
"command": "uvx",
"args": [
"dep-rank",
"mcp"
],
"env": {
"DEP_RANK_TOKEN": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add dep-rank --env DEP_RANK_TOKEN=your-value -- uvx dep-rank mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"dep-rank": {
"command": "uvx",
"args": [
"dep-rank",
"mcp"
],
"env": {
"DEP_RANK_TOKEN": "your-value"
}
}
}
}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": {
"dep-rank": {
"type": "stdio",
"command": "uvx",
"args": [
"dep-rank",
"mcp"
],
"env": {
"DEP_RANK_TOKEN": "your-value"
}
}
}
}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 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub j7an, 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.
Debes completar: DEP_RANK_TOKEN
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 (0.10.2) llegó al registro hace 6 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
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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.
Rank GitHub dependents by stars or trust.
dep-rank finds the most popular repositories that depend on a given GitHub project. It scrapes GitHub's dependents page, enriches results via the GraphQL API, and works as a command-line tool and as an MCP server for AI agents (see MCP server).
uvx or the ghcr.io/j7an/dep-rank Docker image.Also: JSON output, package download stats, choosing among multiple packages, local cache, Docker image, Python API.
pip install dep-rank
export DEP_RANK_TOKEN=ghp_your_token_here # see Authentication below dep-rank deps https://github.com/django/django --rows 5
A token is effectively required; see Authentication. Example output (numbers change over time). dep-rank also prints a scrape summary on stderr; this run stopped early, so the count is a lower bound, not a total (see Partial results):
Top dependents of
https://github.com/django/django ┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓ ┃ Repository ┃ Stars ┃ ┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩ │ makeplane/plane │ 61K │ │ scalar/scalar │ 16K │ │ jetify-com/devbox │ 12K │ │ shiaho777/web-to-app │ 7.1K │ │ WeblateOrg/weblate │ 6.1K │ └──────────────────────┴───────┘
178 dependents at or above the star threshold
dep-rank deps — List top dependentsdep-rank deps https://github.com/django/django
dep-rank deps https://github.com/django/django --rows 20 --min-stars 100 dep-rank deps https://github.com/django/django --descriptions --format json dep-rank deps https://github.com/django/django --packages
| Option | Default | Description |
|---|---|---|
--rows | 10 | Number of results |
--min-stars | 5 | Minimum star count filter |
--format | table | Output format: table or json |
--descriptions | off | Fetch descriptions via GitHub API (requires token) |
--packages | off | Search packages instead of repositories |
--token | DEP_RANK_TOKEN | GitHub token |
--max-pages | 200 | Maximum pages to scrape (ceiling 1000) |
--no-adaptive-stop | off | Disable adaptive early-stop; scrape continues until exhaustion or --max-pages |
--rank-by | stars | Ranking strategy: stars or trust (heuristic, requires token) |
--trust-check | off | Check sampled star history for up to 25 top results (requires --rank-by trust and token) |
--downloads | off | Show each dependent's most-downloaded registry package (ecosyste.ms / deps.dev / npm; display only) |
--package-name | GitHub's default | Scrape only this package (exact name from the dependents page dropdown). Without it, GitHub's default package is scraped and any other listed packages are named in a hint |
In table output (deps, search, and the live progress table), repository names are clickable links to their GitHub pages in terminals that support OSC 8 hyperlinks; piped or redirected output stays plain text.
dep-rank search — Search code in dependentsdep-rank search https://github.com/django/django "from django.db import"
dep-rank search https://github.com/django/django "middleware" --max-repos 20
| Option | Default | Description |
|---|---|---|
--max-repos | 10 | Maximum repos to search |
--min-stars | 50 | Only search repos with this many stars |
--token | DEP_RANK_TOKEN | GitHub token (required) |
--max-pages | 200 | Maximum pages to scrape (ceiling 1000) |
--package-name | GitHub's default | Scrape only this package (exact name from the dependents page dropdown). Without it, GitHub's default package is scraped and any other listed packages are named in a hint |
search always runs a bounded non-adaptive top-K scrape (--no-adaptive-stop is not exposed; adaptive early-stop is permanently disabled for this command).
Rate-limited code searches are retried up to twice, honoring GitHub's wait headers; if GitHub keeps limiting, the remaining repositories are reported as not searched (rate limited).
A scrape result (deps, and the search pre-pass) reports whether it finished: results include a complete flag and a reason. complete: false means the scrape stopped early — max_pages_reached (raise --max-pages), trend_converged (the adaptive heuristic judged the top-K stable; use --no-adaptive-stop to scrape until exhaustion or --max-pages), network_failure, or rate_limited. total_count/filtered_count are then lower bounds across the pages actually scraped, not population totals.
Some repositories publish several packages, and GitHub's dependents page lists them in a dropdown (at most 100). Without --package-name, GitHub picks the package, and dep-rank names it and the others in a hint. JSON output then also carries package (the one scraped) and packages (every listed name).
dep-rank cache — Manage cachedep-rank cache stats # Show cache size
dep-rank cache clear # Clear all cached data
dep-rank mcp runs an MCP server over stdio so AI agents can call dep-rank directly. It needs the optional mcp extra:
pip install "dep-rank[mcp]"
Client configuration (the command works with any MCP client that launches stdio servers):
{
"mcpServers": { "dep-rank": { "command": "uvx", "args": ["--with", "dep-rank[mcp]", "dep-rank", "mcp"], "env": { "DEP_RANK_TOKEN": "ghp_your_token_here" } } } }
DEP_RANK_TOKEN is required: both tools fail without it. The token is read from the server's environment only, never from a tool argument.
Tools:
get_dependents — rank a repository's dependents by stars or trust (the dep-rank deps pipeline). Parameters mirror the CLI: url, rows, min_stars, dependent_type, descriptions, rank_by, trust_check, downloads, max_pages, adaptive_stop, package_name.search_dependents — search code across the top dependents (the dep-rank search pipeline): url, query, max_repos, min_stars, max_pages, package_name.Caveats:
complete and reason before treating counts as totals; see Partial results.HTTP_PROXY, HTTPS_PROXY, and NO_PROXY from its environment. A SOCKS proxy (for example ALL_PROXY=socks5://...) is not supported: tool calls fail with an error until it is removed from the server's environment.The ghcr.io/j7an/dep-rank image runs the MCP server under Docker MCP Toolkit. You get:
--block-network;It does not change prompt-injection risk: tool results still contain text from third-party repositories, and your agent reads it.
Prerequisites: Docker Desktop with MCP Toolkit, and profiles enabled (the MCPWorkingSets feature flag in Docker Desktop, or docker mcp feature enable profiles).
~/.docker/mcp/catalogs/dep-rank.yaml. The gateway only reads file:// definitions from that directory. name: dep-rank
title: dep-rank type: server image: ghcr.io/j7an/dep-rank:latest description: Rank a GitHub repo's dependents by stars or trust heuristic, and search their code secrets:
get_dependents with downloads also needs packages.ecosyste.ms:443, api.npmjs.org:443, and api.deps.dev:443 in allowHosts; without them, download stats are reported as unavailable.
--id dep-rank: without it the ID becomes dep_rank, which won't match the harness config below. docker mcp profile create --name dep-rank --id dep-rank \
--server "file://$HOME/.docker/mcp/catalogs/dep-rank.yaml"
gh auth token | docker mcp secret set dep-rank.token
If the secret is missing, the gateway passes the literal value as DEP_RANK_TOKEN, so calls fail with GitHub errors rather than a "token missing" message.
--block-network, which is what enforces allowHosts: {
"mcpServers": { "dep-rank": { "command": "docker", "args": ["mcp", "gateway", "run", "--profile", "dep-rank", "--block-network"] } } }
docker mcp client connect -p dep-rank also works, but the entry it writes omits --block-network; add it yourself.
Notes:
image to a release tag (ghcr.io/j7an/dep-rank: ) or an @sha256: digest. Verify an image's build provenance with gh attestation verify oci://ghcr.io/j7an/dep-rank: --repo j7an/dep-rank.dep-rank-cache volume keeps the cache warm between calls.docker rm -f $(docker ps -aq --filter label=docker-mcp-proxy=true).Use dep_rank.core.dependents.get_dependents for the deps pipeline in Python. It returns dep_rank.core.models.DependentsResult; select repository or package dependents with dep_rank.core.models.DependentType. The API may change during 0.x.
import asyncio
import httpx2
from dep_rank.core.cache import SqliteCache from dep_rank.core.dependents import get_dependents from dep_rank.core.models import DependentsResult, DependentType
async def main(cache_dir: str | None = None) -> None: cache = SqliteCache(cache_dir) if cache_dir is not None else None try: if cache is not None: await cache.initialize() async with httpx2.AsyncClient() as session: result: DependentsResult = await get_dependents( session, "https://github
Solo se muestra el principio; lee el resto en el repo