Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Conning

de EranYonaiversión 0.6.5i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.EranYonai/conning

Instalar

Resumen

Descripción del creador (original en inglés)

Run commands on your remote test machines over SSH without the agent ever seeing a secret.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "conning": {
      "command": "uvx",
      "args": [
        "conning",
        "mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add conning -- uvx conning mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "conning": {
      "command": "uvx",
      "args": [
        "conning",
        "mcp"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "conning": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "conning",
        "mcp"
      ]
    }
  }
}

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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub EranYonai, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32688 servidores de esta categoría
  • Publicado en el registro más recientemente que el 77% de los otros 32688 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32688 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Conning?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.6.5) llegó al registro hace 10 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv), Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado anteayer
Instalar

README del creador

Abrir el README

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.

Conning

A light, local SSH controller for humans and agents. Conning is one small CLI and MCP server on your own machine. It runs commands, long jobs and file copies on your test machines over plain OpenSSH. You drive it from a terminal; your agent (Claude Code, Codex, Cursor...) gets the same four commands as MCP tools, with identical output. Conning holds the keys, so the agent never sees a password, and you approve anything risky.

conn targets add lab --host 10.0.0.5 --user tester   # asks for the rest, pins the host key

conn run lab uname -a # exit code first, then the output conn run -t lab apt upgrade # you, at a terminal: live, like ssh -t conn ssh lab # you: a shell there, same login and jump hosts conn targets mode lab auto # optional: let the agent run anything there

Status: early (0.6). Linux, macOS and Windows targets work, with long jobs, transfers, jump

hosts and approvals. See docs/design.md for every decision so far.

What it is

  • Light. One Python package and no daemon: the MCP server runs on stdio when your agent starts it. Four tools cost about 1k tokens a turn. Results lead with the exit code and are capped at 8 KB by default, with a handle to page the rest; fan-out to many targets collapses identical results.
  • Local. It runs next to you and your agent. Targets only need inbound SSH, and nothing gets installed on them. Secrets stay where they are (OS keychain, op://, ssh-agent): the target file holds references, and no tool ever returns a secret.
  • SSH. Plain OpenSSH underneath, never your ~/.ssh/config: a generated config per target, pinned host keys, forwarding off, jump hosts. Windows targets need OpenSSH and PowerShell 7.
  • For humans and agents. Each target has a mode, ask or auto. In ask, read-only commands and your allow rules run, and anything else waits for you; "always allow" remembers two words, so systemctl status never lets through systemctl stop. Only you grant trust: in the agent client's prompt, in conn watch or at your terminal.

Install

uv tool install conning        # or: pipx install conning

conn mcp install claude # or codex, cursor, opencode, pi: adds the server, its skill, and denies raw ssh/scp

For Tab completion that reads the target (its files, commands and shell history), run conn completion install once; it adds one line to your bash, zsh or fish rc file, and conn doctor reminds you if it's missing. Set history = false on a target to keep its shell history out (D53).

The MCP server needs no install at all:

claude mcp add conning -- uvx conning mcp
Or run the server in Docker
docker run -i --rm --network host \

-v ~/.config/conning:/conning \ -v "$SSH_AUTH_SOCK":/ssh-agent -e SSH_AUTH_SOCK=/ssh-agent \ ghcr.io/eranyonai/conning:latest

The image carries Python, the OpenSSH client and Conning, and nothing else. Targets, pinned host keys and job output live on the /conning volume, and conn runs as that folder's owner, so files it writes there stay yours on the host. On Docker Desktop for Mac, forward the agent with -v /run/host-services/ssh-auth.sock:/ssh-agent instead. Two things stay on your machine (D46):

  • Approving. conn targets add, conn approve, conn allow and turning on auto need your terminal. Install the CLI on the host and point it at the same folder: CONNING_HOME=~/.config/conning conn approve a:1. Approving in the agent client works from the container as usual.
  • Secrets. The OS keychain is not reachable from a container, so use env: or op:// references, or forward your ssh-agent as above and use a key. docker run --rm ... conning doctor checks the rest.

Targets on a lab LAN or VPN need --network host (Linux) or a route the container can use.

The agent's four tools

ToolWhat it does
targets(filter?, check?)One line per target: name, OS, shell, host, user, tags, mode. Never a secret.
`run(target, cmd \argv, wait=30, max_bytes=8192, ...)`Runs on one target, a list or tag: . Exit code first. Still running after wait seconds: returns a job id (wait=0 is async).
read(id, wait?, range?, grep?, signal?)Long-polls a job for new lines, pages a saved output, or reads a remote file.
transfer(source, dest)Copies files between local: and : , checked by sha256.

Agents without MCP can use the same commands through the conn CLI; the output is identical.

For agents: CLI reference

This block is generated by conn help --markdown, so you don't need to call --help. A test keeps it in sync with the code.

# Agent commands (same output as the MCP tools)

conn targets [--check] [filter] List targets: name, OS, shell, host, user, tags, mode. Never secrets.

conn run [--wait WAIT] [--timeout TIMEOUT] [--cwd CWD] [--shell] [-t] [--max-bytes MAX_BYTES] [--grep GREP] target [argv ...] Run a command on one target, a list, or tag: . Exit code first.

conn read [--wait WAIT] [--range RANGE] [--grep GREP] [--signal {INT,TERM,KILL}] [--max-bytes MAX_BYTES] id Page a job (new lines only), a saved output, an approval, or a remote file.

conn transfer source dest Copy files: local: to : , or back. sha256 checked.

At a terminal

conn ssh target Human only: an interactive shell on a target, with its login, key, port and jump hosts.

Targets (conn targets )

conn targets add [--host HOST] [--user USER] [--like TARGET] [--port PORT] [--jump TARGET] [--auth {ssh-agent,key,password}] [--secret SECRET] [--key KEY] [--os {linux,windows,darwin}] [--mode {ask,auto}] [--tag TAG] name Add a target. Without a terminal it is saved as pending until a human approves it.

conn targets import [--match MATCH] Import hosts from ~/.ssh/config as pending targets (unsafe options dropped).

conn targets test name Probe a target: reachability, OS, shell, pinned host key.

conn targets mode target [{ask,auto}] Show or set ask or auto; auto runs anything without asking and needs a human.

conn targets rename old new Human only: rename a target; its host keys, password and pending work follow.

conn targets rm name Remove a target and its pinned host key.

Trust

conn approve [--always] what Human only: make a target live, or allow a pending command a: .

conn allow target [words ...] Human only: let a command run without asking (no words: list the rules).

conn deny target words [words ...] Remove an allow rule, so the command asks again (no terminal needed).

This machine

conn watch [--history HISTORY] [--no-prompt] Live control room: every command on every target, job output, approval prompts.

conn doctor Check this machine's setup: config and state dirs, ssh, keychain, targets.

conn mcp [--approve-in-client | --no-approve-in-client] ... Run the MCP server on stdio, or install it into an agent client.

conn completion {bash,zsh,fish,install} Tab completion that reads the target; conn completion install turns it on in your shell.

conn help [--markdown] Show this help; --markdown prints the block cached in README.md.

<!-- conn-help:end -->

A target is one login on one machine. To use the same machine as another user, add it again: conn targets add lab-tester --like lab --user tester copies the host, port, OS and tags and asks for the new user's password. conn targets shows which user each target uses.

A target behind a bastion names it as its jump host: add the bastion as a target first, then conn targets add lab --host 10.0.0.5 --user tester --jump gw. Every hop gets its own login and its own pinned host key, and conn targets import keeps a ProxyJump to another host it imports. The bastion is a target the agent can see too; in ask mode it can only run read-only commands there without you.

A target you add with conn targets add from an agent session is saved as pending. It does nothing until the human runs conn approve , which shows the host, the pinned host-key fingerprint and where the secret comes from.

A command outside a target's allowlist returns status=pending_approval id=a: , and a desktop notification tells the human. They answer in one of three places (allow once, always allow its first two words, or deny), and the agent picks up the result with read a: :

  • In the agent client: any MCP client that supports elicitation shows the question before the command is queued, and an approved command runs in the same call. Clients without it fall back to the two below. If a client would answer such prompts by itself instead of asking you, run the server as conn mcp --no-approve-in-client.
  • In `conn watch`, which also shows every command and its output as it happens.
  • With `conn approve a: ` in any terminal. When you run conn run yourself at a terminal, it just asks you there and prints the result.

read a: long-polls only while a conn watch is open. With nobody watching, it returns at once with nobody is watching: ask the user to run conn approve a: , so the agent asks you instead of waiting out its timeout for an answer no one was asked for.

Read-only commands such as uname, hostname, df, ps, ls, ip addr, systemctl status and journalctl run without asking on every target; each is checked so its changing forms (hostname x, ip addr add) still ask, and safe = false in a target's entry turns the list off. conn allow make test lets another command run without asking from then on; conn deny takes it back. Every command, answer and rule change lands in a hash-chained audit log, and conn doctor checks your setup when something doesn't work.

Safety model

ModeWhat the agent can doDefault for
askThe built-in read-only list and allowlisted commands run; anything else waits for your approval.every new target
autoAny command runs without asking, until you set the mode back to ask. conn doctor warns about it.never by default
  • No tool returns a secret, adds a live target or changes policy.
  • Secrets travel over stdin or the SSH channel's env, never argv. Output is redacted before it is saved.
  • Remote output is marked untrusted. Shell wrappers (sh -c, python -c, sudo...) and shell syntax (;, |, $(...)) always ask.
  • conn mcp install also denies the agent raw ssh/scp and conn ssh, so it can't go around Conning (pi has no permission rules, so there it only adds the server).
  • The audit log is hash-chained. It runs as your user, so it is tamper-evident, not tamper-proof.

Development

uv sync

uv run pytest --cov=conning # CI requires 95% coverage on Linux uv run ruff check && uv run ruff format --check

The end-to-end tests drive the real conn and MCP server against a throwaway local sshd (Linux, root to start it; CI's e2e job does this on every push):

eval "$(sudo sh tests/e2e/start-sshd.sh /tmp/conning-sshd | sed 's/^/export /')"

uv run --with keyrings.alt pytest -m e2e # keyrings.alt: a file keychain for typed passwords

After changing the CLI, refresh the README block with uv run conn help --markdown.

Docs

  • docs/design.md: the design and every decision, with its status.
  • [docs/blog.html]

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx