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Descripción del creador (original en inglés)
openITCOCKPIT monitoring: host and service state, history, downtimes, acknowledgements, patches
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.
OITC_APIKEY, OITC_BASEURL, OITC_TRANSPORT, OITC_ENABLE_WRITE_TOOLS, OITC_VERIFY_TLSLos 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": {
"openitcockpit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add openitcockpit --env OITC_APIKEY=your-value --env OITC_BASEURL=your-value --env OITC_TRANSPORT=your-value --env OITC_ENABLE_WRITE_TOOLS=your-value --env OITC_VERIFY_TLS=your-value -- docker run -i --rm -e OITC_APIKEY -e OITC_BASEURL -e OITC_TRANSPORT -e OITC_ENABLE_WRITE_TOOLS -e OITC_VERIFY_TLS docker.io/openitcockpit/mcp-server:0.5.0Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"openitcockpit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "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": {
"openitcockpit": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"OITC_APIKEY",
"-e",
"OITC_BASEURL",
"-e",
"OITC_TRANSPORT",
"-e",
"OITC_ENABLE_WRITE_TOOLS",
"-e",
"OITC_VERIFY_TLS",
"docker.io/openitcockpit/mcp-server:0.5.0"
],
"env": {
"OITC_APIKEY": "your-value",
"OITC_BASEURL": "your-value",
"OITC_TRANSPORT": "your-value",
"OITC_ENABLE_WRITE_TOOLS": "your-value",
"OITC_VERIFY_TLS": "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.
OITC_TRANSPORT envOITC_ENABLE_WRITE_TOOLS envOITC_VERIFY_TLS envEsta 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 openITCOCKPIT, 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: OITC_APIKEY, OITC_BASEURL
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 (0.5.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker 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
Cloudflare MCP servers
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.
An MCP server that puts an openITCOCKPIT monitoring instance in front of an LLM client: what is broken and why, what someone already handles, what changed - and, off by default, the tools that act on it.
[!CAUTION]
Use at your own risk. This server lets a language model read and - with write
tools enabled - change your monitoring configuration. A model can misunderstand a
request or pick the wrong call. Review what it proposes before you approve it, and
start with read-only access. The software is provided "as is", without warranty
or liability of any kind; see the MIT License.
cp .env.example .env # fill in the two secrets, see Configuration
docker compose up --build
Point your client at http://localhost:8000/mcp with the bearer token from your .env. Compose reads that same file for the published port, so setting OITC_PORT there moves both sides at once.
Three settings matter to start: MCP_AUTH_TOKEN (what clients present to this server), OITC_BASEURL and OITC_APIKEY (what this server presents to openITCOCKPIT). Everything else has a default - all of it.
| Ask | What answers it |
|---|---|
| "What is broken right now?" | get_problem_overview - causes separated from their consequences |
| "Why is db-01 critical?" | get_service_health, investigate_problem |
| "Is anyone on it already?" | the same tools: downtime and acknowledgement come with the state |
| "What happened during the night shift?" | get_shift_summary |
| "Why did I get no alert for web01?" | explain_notification |
| "Take web01 out until Monday" | schedule_downtime (write) |
| "Which templates could web-05 use?" | get_allowed_elements_for_container |
Every tool by name, with its parameters and what it costs in context: [docs/tools.md](docs/tools.md), generated from the code. What a result looks like and what happens when you write: [docs/using-the-tools.md](docs/using-the-tools.md).
Running a monitoring instance is not one job, so a surface small enough to be easy would be too small to be useful. Instead the server keeps every tool the work needs and a toolset hands one agent its share: around ten tools, complete for that job and nothing beyond it. A tool that was never registered cannot be called at all.
OITC_TOOLSETS=health # find things and see how they are doing
OITC_TOOLSETS=operations # acknowledge, maintenance windows, check now OITC_TOOLSETS=lifecycle # take things out of the monitoring, or delete them
The shipped sets are health, operations, lifecycle, patch, reporting, catalog, onboarding, config and provisioning. Sets are defined in a file you can replace: docs/toolsets.md.
oitc-mcp-eval asks operator questions against your instance and checks whether a model answers them from the tools instead of inventing. It keeps every run in SQLite, so models and changes stay comparable.
oitc-mcp-eval --model your-model --samples 3 # against the configured instance
oitc-mcp-eval --compare # newest run of every model ./scripts/eval-throwaway.sh --model your-model # instance created and removed for you
docs/evals.md.
| Configuration | every setting, and which secret goes where |
| Connecting a client | HTTP and stdio, with working examples |
| Installation | Docker, from source, MCP Registry |
| Tools | every tool, generated from the code |
| Working with the tools | result shapes, container scope, read-modify-write |
| Toolsets | limiting an instance, writing your own set |
| Skills and prompts | the material served alongside the tools |
| Measuring a model | the eval, its cases, and reading the results |
| Security | what this server can reach, and what it refuses |
| Architecture | how the pieces fit together |
| Tool design | the rules a new tool follows |
| openITCOCKPIT API notes | the behaviour this server works around |
| Versioning | version numbers and compatibility |
| Development | checks, tests, running from a checkout |
The server holds one openITCOCKPIT credential and never sends it to a client. Clients authenticate with their own token; in delegated mode each request carries a short-lived user token instead, and the server acts as that user with their permissions. Write tools stay unregistered until you enable them. The details, including what to give the openITCOCKPIT user: docs/security.md.
MIT.