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

repoward

de Sanoy24versión 0.3.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Sanoy24/repoward

Instalar

Resumen

Descripción del creador (original en inglés)

GitHub MCP server that blocks private-to-public leaks by agents, with approvals and audit.

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: Herramientas para desarrolladores
  • Debes completar: GITHUB_TOKEN

Instalación

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

Antes de instalar

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

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": {
    "repoward": {
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add repoward --env GITHUB_TOKEN=your-value -- uvx repoward serve

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "repoward": {
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "repoward": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "repoward",
        "serve"
      ],
      "env": {
        "GITHUB_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.

Valores que debes completar

  • GITHUB_TOKEN secreto obligatorio env
    Fine-grained personal access token limited to the repositories in your policy.

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 Sanoy24, 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 Herramientas para desarrolladoresi

  • Más estrellas que el 0% de los otros 1394 servidores de esta categoría
  • Publicado en el registro más recientemente que el 99% de los otros 1394 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 1394 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 repoward?

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?

Debes completar: GITHUB_TOKEN

¿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 (0.3.0) llegó al registro hoy.

¿Qué apps pueden usarlo?

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

¿Qué puedo usar en su lugar?

En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

de github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

Computadora o nube★ 34.245MITActualizado hace 3 días
Instalar

Desktop Commander

de wonderwhy-er

MCP server for terminal commands, file operations, and process management

Se ejecuta en tu computadora★ 10.225MITActualizado hace 16 días
Instalar

Cloudflare MCP

de cloudflare

Cloudflare MCP servers

Se ejecuta en la nube★ 4446Apache-2.0Actualizado hace 14 meses
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.

repoward

A GitHub MCP server that stops AI agents acting on what an attacker's issue told them to do.

Status: alpha. It has not had an independent security review. Read

the threat model, especially the part about where it runs.

The problem

An agent with GitHub access can read a malicious public issue, read a private repository, and post the contents in a public pull request. Each call looks allowed on its own, so per-tool permissions do not stop the sequence. This is the attack Invariant Labs published against agents using GitHub's MCP server, and repoward's test suite replays it against real repositories.

Flow guard

Before every write, repoward checks what this agent has already read, using facts from GitHub:

If the agent has readThen
Anything from a private repositoryWrites to public repositories are denied
An issue, pull request or comment from an author outside OWNER, MEMBER and COLLABORATOR, or a job logEach write needs human approval

This does not depend on the model noticing an attack or on scanning text, so rewording or encoding the data does not get around it. The state survives restarts, and no tool can clear it. A person can:

uvx repoward flow status

uvx repoward flow reset

What it does not do:

  • It only sees this server's tools. A shell, a browser or another MCP server is still a way out, so it protects agents whose GitHub access and outbound routes are limited to this server.
  • Data can stay in an agent's context after the window (60 minutes by default) ends. Restart a long-running agent to clear its context.
  • Reading one private repository and writing to another private repository is allowed, unless you set single_repo: true.
  • Repository files and code search results do not count as untrusted input, because they were merged by someone with write access.
  • author_association is a coarse signal, and a compromised trusted account counts as trusted.
  • Maintainers of public repositories will see more approval requests. That is the cost of the default, and trusted_associations is configurable.

Features

  • Policy: default-deny YAML with roles, repository allowlists and path denylists. See policy.example.yaml.
  • Single guarded path: every tool attempt, including unknown tools and invalid arguments, passes through one pipeline and is logged.
  • Audit log: a hash-chained record of every decision, with optional HMAC and checkpoints.
  • Rate limits: per principal and per tool.
  • Read tools: github_list_issues, github_get_issue, github_search_code, github_get_file, ci_get_status and ci_get_job_logs.
  • Write tools: github_create_branch, github_commit_files, github_create_pull_request and github_comment. Writes only reach branches with the configured prefix (agent/ by default), pull requests are draft only by default, commit sizes are limited, nothing is forced or retried, and text holding a recognizable credential is refused.
  • Dangerous tools: github_merge_pull_request and github_delete_branch need human approval. An approval covers one exact call at one exact commit, works once and expires. Merging is off until a policy turns it on.
  • GitHub App tokens (optional): each call gets a short-lived token limited to one repository and only the permissions that tool needs, and GitHub enforces those limits itself.
  • Pull request review as approval (optional): a merge can be approved by a real GitHub review of the exact commit.
  • Pull request receipts (optional): a commit status summarizing how the agent's run has gone.
  • Policy replay: see which past decisions a policy edit would change before you deploy it.
  • Untrusted content handling: text from GitHub users comes back wrapped in a tag with a random id per response, after invisible characters, hidden HTML comments and images are removed and secrets are redacted. This is a mitigation, not a guarantee: a model can still be fooled, which is why the rules above are enforced outside the model.

Who it is for

Agents whose only route to GitHub is this server, such as CI bots and hosted agents. An agent with shell access can run git or read local credentials directly, so this server is not a security boundary for it.

Install

Requires uv. Create a starter policy, which also prints a client config to paste:

uvx repoward init --repo your-org/your-repo

The starter policy gives the server read-only tools. Add --role contributor for write tools. Files live in ~/.repoward, or wherever REPOWARD_HOME points. An existing policy is never overwritten.

Run this first, because the server will not start without a policy. Then add it to your MCP client, and use a token set up as described in GitHub token. Avoid committing a config that holds a real token.

Claude Code

claude mcp add --env GITHUB_TOKEN=<your-token> --transport stdio repoward -- uvx repoward serve

Claude Desktop

In claude_desktop_config.json, under Settings > Developer > Edit Config:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": " " } } } }

Cursor

In ~/.cursor/mcp.json, reading the token from your environment:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "${env:GITHUB_TOKEN}" } } } }

VS Code

In .vscode/mcp.json or your user profile's mcp.json, which prompts for the token once:

{

"inputs": [ { "type": "promptString", "id": "github-token", "description": "GitHub token", "password": true } ], "servers": { "repoward": { "type": "stdio", "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "${input:github-token}" } } } }

Codex

In ~/.codex/config.toml, forwarding the token from your environment:

[mcp_servers.repoward]

command = "uvx" args = ["repoward", "serve"] env_vars = ["GITHUB_TOKEN"]

Gemini CLI

In ~/.gemini/settings.json, reading the token from your environment:

{

"mcpServers": { "repoward": { "command": "uvx", "args": ["repoward", "serve"], "env": { "GITHUB_TOKEN": "$GITHUB_TOKEN" } } } }

OpenCode

In opencode.json in your project, or ~/.config/opencode/opencode.json, reading the token from your environment:

{

"mcp": { "repoward": { "type": "local", "command": ["uvx", "repoward", "serve"], "environment": { "GITHUB_TOKEN": "{env:GITHUB_TOKEN}" } } } }

Any other client that can launch a stdio MCP server runs the same command: uvx repoward serve.

If your client reports that the server failed to connect, run uvx repoward serve in a terminal to see why. The usual cause is that repoward init has not been run yet, so there is no policy.

Useful commands:

uvx repoward validate-policy

uvx repoward audit verify

Approving risky actions

A call that needs approval does not run. It returns an approval_id, and a person decides from a terminal:

uvx repoward approvals list

uvx repoward approvals show uvx repoward approvals approve

The agent then repeats the same call. Pushing new commits changes the commit the call names, so the old approval no longer applies, and GitHub refuses a merge whose head has moved.

Approving with a pull request review

A merge can also be approved by a normal GitHub review, so the approver needs their own GitHub identity and not just access to this machine. Turn it on in your policy:

approvals:

github_review: { enabled: true, min_permission: write }

A review counts only if it approves the exact commit being merged, comes from a user other than the pull request's author and this server's own identity, and that user has the required access. Any reviewer's outstanding request for changes blocks it. Each check is made again at merge time.

This needs the server to act as a GitHub App or a separate bot account. With your own token, your own reviews are refused. If an agent can reach the reviewer's GitHub credentials, such as a logged-in gh on the same machine, this protection is lost.

Limits of approvals

If the agent runs as the same OS user as this server and has a shell, it could run these commands or edit the database itself. Run the server and its files under a separate user or in a container for approvals to mean anything.

GitHub token

Use a fine-grained personal access token limited to the repositories you allow, with short expiry. Choose Only select repositories so that repository permissions appear. The read tools need these, all read-only:

PermissionUsed for
MetadataRequired by GitHub
Contentsgithub_get_file
Issuesgithub_list_issues, github_get_issue
Pull requestsPull requests in those same tools
Actionsci_get_status, ci_get_job_logs
Commit statusesci_get_status

To use the write tools, also give it read and write access to Contents, Issues and Pull requests. Leave the Workflows permission off: GitHub then refuses workflow file changes even if your policy allows the path.

Contents: write lets a token push to any branch and merge, and GitHub cannot limit it to agent/ branches. That limit lives in this server, so also protect your default branch with a ruleset that requires pull requests and has no bypass for the token's owner. If the token leaks or the server is misconfigured, that ruleset still holds.

Limits to know about:

  • ci_get_status does not show third-party checks reported only through the Checks API, which GitHub documents as unavailable to fine-grained tokens.
  • github_search_code covers the default branch and files under 384 KB. New repositories can return nothing until GitHub indexes them, and its handling of real results has so far only been tested against simulated responses.
  • github_get_file refuses symlinks, submodules, binary files and files over 1 MB. It walks the Git tree, so each read makes one request per folder in the path.
  • ci_get_job_logs fails closed if GitHub moves log storage to a host it does not recognize.
  • github_merge_pull_request does not support merge queues or stacked pull requests.
  • github_delete_branch checks the commit and then deletes, because GitHub has no conditional delete, so a small window remains between the two.
Using a GitHub App instead

A GitHub App gives each tool call its own short-lived token, limited to one repository and that tool's permissions. The App also has its own identity, which review approvals need.

Register an App with webhooks off and only the permissions you need, then install it on the repositories in your policy, and generate a private key:

PermissionLevelUsed for
ContentsRead, or write for write toolsFiles, search, branches, commits, merges
IssuesRead, or write for commentsIssues and comments

| Pull requests | Read, o

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

Pregunta a PopNx