GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Delegate real-world actions from Claude Code, Codex, and other agents to Hermes Agent.
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": {
"hermes-action-bridge": {
"command": "npx",
"args": [
"-y",
"hermes-action-bridge",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add hermes-action-bridge -- npx -y hermes-action-bridge mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"hermes-action-bridge": {
"command": "npx",
"args": [
"-y",
"hermes-action-bridge",
"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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"hermes-action-bridge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"hermes-action-bridge",
"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.
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 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub TheBlueHouse75, 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 (0.6.3) llegó al registro hace 2 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: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ 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
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.
A configurable bridge that lets external agents delegate real-world actions to Hermes Agent without reimplementing Hermes skills, tools, platform integrations, browser automation, cron jobs, or messaging flows.
Use it from Claude Code, Codex, Cursor, CI jobs, shell scripts, or another MCP-capable client. MCP execution requires interactive form elicitation and fails closed in non-interactive clients; plan, draft, dry-run, and direct CLI workflows remain available to automation.
external agent -> hermes-action -> Hermes Agent -> skills/tools/integrations
Coding agents are good at understanding a repository. They should not duplicate your automation stack.
If an agent needs to do something outside its local coding session — research, schedule a job, open a browser workflow, send a message, prepare a social post, use a Hermes skill, or coordinate with a messaging gateway — it can delegate that request to Hermes through this bridge.
hermes-action run command for one-shot delegation.execute to request-approval by default, with per-preset trust overrides.--yolo mode for users who intentionally want to bypass bridge-level policy.E2BIG).hermes, or configured with a custom command path.Check Hermes:
hermes --version
Install from npm:
npm install -g hermes-action-bridge
Install the skill and MCP registration for Codex and Claude Code, then verify the complete setup:
hermes-action --version
hermes-action install all hermes-action doctor
Global installation is all-or-nothing for the requested agents. If Codex or Claude Code is unavailable, conflicting, or cannot verify its user-scoped stdio MCP entry, the command exits non-zero without installing the requested skills. Use --project for an explicit skill-only setup.
Choose the channel that matches the agent surface. Hermes Agent must always be installed and configured on the same computer as the local bridge.
| Channel | What it configures | Install |
|---|---|---|
| npm installer | Skill and verified user-scoped MCP for Codex CLI/app and Claude Code | hermes-action install all |
| Claude Code marketplace | Claude plugin with the Skill and a version-pinned MCP server | claude plugin marketplace add TheBlueHouse75/hermes-action-bridge, then claude plugin install hermes-action@hermes-action-bridge |
| Claude Desktop | Self-contained MCPB extension for the bridge runtime | From the latest GitHub Release, download hermes-action-bridge- .mcpb and open it with Claude Desktop |
| Agent Skills | Portable instructions for supported coding agents | npx skills add TheBlueHouse75/hermes-action-bridge --skill hermes-action-bridge |
| Smithery Skill | Public portable instructions in the Smithery Skill catalog | Check the latest release notes for the verified Skill listing or its pending status |
| Smithery MCPB | The same local MCPB bundle through the Smithery catalog | Check the latest release notes for the verified MCPB listing or its pending status |
The standalone Agent Skill only teaches an agent when and how to delegate; it does not register an MCP server. Use the npm installer, Claude marketplace, or MCPB channel when MCP tools are required.
Maintainers releasing a new version should follow the distribution runbook, which covers the automated release workflow and the manual directory publication checks.
Codex CLI and the Codex surface in the ChatGPT desktop app share the local Codex MCP configuration on the same host. A general ChatGPT connector is a different distribution target: it requires a remotely reachable MCP server and is not installed by this local stdio bundle.
From source (for development)
git clone https://github.com/TheBlueHouse75/hermes-action-bridge.git
cd hermes-action-bridge npm install npm run build npm link
Create a config file in your project:
hermes-action init
Ask Hermes for a safe plan:
hermes-action run --mode plan "Find the best next action from this repository context."
Delegate with a context file:
hermes-action run \
--preset research \ --context ./notes.md \ "Analyze this and return the next concrete action."
Run a dry-run to inspect what will be sent to Hermes:
hermes-action run --dry-run --json "Summarize this project."
plan: Hermes is instructed to return a plan only. Treat it as open-world because configured tools remain available.draft: Hermes produces an artifact only. No external side effects.execute: Hermes may execute allowed actions, while still following Hermes' own safety rules.request-approval: Hermes prepares an action without executing it. MCP callers should use hermes_prepare and then hermes_approve; the latter opens an interactive client form showing the exact action and executes only after the human confirms it.The policy guard is deterministic and language-agnostic: in execute mode the bridge switches to request-approval by default — regardless of the prompt's wording or language — unless the preset is explicitly trusted (empty require_approval_for) or --yolo is set. Separately, every effective MCP execute request requires interactive client confirmation, including trusted presets and YOLO. The bridge does not try to infer risk from keywords.
Risk categories below are informational only: the bridge surfaces the ones it recognizes in the prompt envelope to help you and Hermes decide, but they never drive the mode. (Keyword matching is English-biased and trivially evaded, so it must not be a security control.)
publish_externalsend_messagesend_emaildeletepaymentgit_pushcredential_changeYOLO mode is off by default.
hermes-action run --yolo --mode execute "Do the task now."
YOLO bypasses the mode-downgrade policy. It does not bypass the MCP interactive confirmation barrier, Hermes Agent's own safety rules, provider/tool approval prompts, or platform constraints. Direct CLI use remains an explicit trusted-local escape hatch.
Use it only when the caller and environment are trusted.
By default every execute is downgraded to request-approval — the right default when an agent might act unattended. When *you* are the one asking for an action and want it to run without that extra gate, define a trusted preset: one whose require_approval_for is an empty list. Put it in your user config so it is yours alone and available in every project:
# ~/.config/hermes-action/config.yaml (user scope, merged before any project config)
presets: act: description: Direct execution of an action I explicitly asked for (trusted). require_approval_for: []
Run actions through it — execute stays execute, with no downgrade and no --yolo needed:
hermes-action run --preset act --mode execute "post the release note to #general"
Keep it safe:
SKILL.md stays cautious for everyone else.hermes-action loads config in this order:
CLI flags > project .hermes-action.yaml > user config > built-in defaults
User config path:
~/.config/hermes-action/config.yaml
Project config path:
.hermes-action.yaml
Example:
runtime:
adapter: hermes-cli command: hermes
max_context_bytes: 786432
defaults: mode: plan source: external-agent max_turns: 30 preset: default
presets: default: description: No extra skills or toolsets. Uses the active Hermes profile. skills: [] toolsets: []
research: description: General research and synthesis. skills: [] toolsets: [web, terminal, file]
coding: description: Repository inspection and runtime validation. skills: [developer-assurance-and-validation, runtime-debugging] toolsets: [terminal, file]
policy: yolo: false
require_approval_for:
The bridge builds one prompt envelope (policy header + your request + every block) and hands it to Hermes. Two guardrails keep that reliable:
runtime.max_context_bytes, default ~768 KiB, plus a fixed 250 KiB per-file cap). Exceeding it fails fast with an actionable message — Context total N bytes exceeds the limit ... Split your handoff or raise runtime.max_context_bytes. — instead of a cryptic E2BIG spawn crash. The default leaves headroom under the operating system's argument-size limit.0600 temp file and tells Hermes to read that file (injectiSolo se muestra el principio; lee el resto en el repo