Skip to main content
Glama

ci-watch-mcp

Servidor MCP con una única herramienta watch_ci: espera a que la CI de GitHub Actions termine para un commit en un repositorio git local, y con una sola llamada devuelve un resumen junto con el log del error si algo ha fallado.

Para qué

Sin esto, comprobar "si el CI ha pasado después de mi push" es manual: push → sleep → gh run list → si está en estado "in_progress", otro sleep → de nuevo gh run list → si conclusion: failure, una llamada aparte a gh run view <id> --log-failed para ver qué se rompió exactamente. watch_ci hace todo esto en una sola llamada y devuelve al instante el log del fallo, sin bucle manual de espera.

Related MCP server: claude-beacon

Herramienta

watch_ci

Parámetro

Tipo

Por defecto

Descripción

cwd

string

— (obligatorio)

Ruta al clon local del repositorio con origin en GitHub

ref

string

HEAD

SHA (completo o corto) o cualquier git-ref

workflow

string

—

Filtro por nombre de workflow, si hay varios en el repo

timeout_ms

number

300000 (5 min)

Tope de 1200000 (20 min)

poll_interval_ms

number

5000

Intervalo de encuesta de gh run list

Devuelve:

  • { ok: true, conclusion: "success", url, sha, workflowName } — la CI pasó;

  • { ok: false, conclusion: "failure", url, sha, workflowName, failedLogs } — la CI falló, failedLogs es la cola de gh run view --log-failed (recortada a 8000 caracteres, desde el final, donde está lo más informativo);

  • { ok: false, timedOut: true, status, url, message } — no pudo terminar/arrancar en el tiempo asignado.

Si ref no se resuelve como un commit real (error tipográfico en el SHA), la herramienta lanza un error inmediatamente en lugar de esperar en silencio hasta el timeout.

Instalación

cd ci-watch-mcp
npm install

Conexión a Claude Code:

claude mcp add ci-watch -s user -- node /шлях/до/ci-watch-mcp/src/server.js

Es necesario tener el CLI gh instalado y autenticado (gh auth status).

Pruebas

npm test

Se ejecutan contra partes reales ya completadas en el repositorio secretscan (una exitosa, una fallida y un commit sin ninguna ejecución de CI) — sin necesidad de esperar un push en vivo.

Licencia

MIT — Faneraiy14.

Available Tools

1 tool
watch_ciДочекатись завершення GitHub Actions CIA

Чекає, поки GitHub Actions CI завершиться для поточного (або заданого) коміту в локальному git-репозиторії, і повертає підсумок ОДНИМ викликом: ok/conclusion/url, а за провалу - одразу хвіст логу невдалих кроків (--log-failed), без окремого запиту. Заміняє ручний цикл "push -> sleep -> gh run list -> (якщо впало) gh run view --log-failed".

NameRequiredDescriptionDefault
cwdYesАбсолютний шлях до локального клону репозиторію (з origin на GitHub)
refNoSHA коміту для перевірки; за замовчуванням поточний HEAD у cwd
workflowNoНазва workflow для фільтрації (напр. "CI"), якщо в репо їх декілька
timeout_msNoМаксимальний час очікування в мс, типово 300000 (5 хв), стеля 1200000 (20 хв)
poll_interval_msNoІнтервал опитування в мс, типово 5000

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden. It discloses key behaviors: single-call summary return, and immediate failed-step log tail on failure. It does not mention timeout behavior or authentication requirements, but the essential behavioral traits are covered well beyond what the input schema conveys.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, efficient and front-loaded. The first sentence states the core function, the second details the return behavior, and the third shows the manual cycle it replaces. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While there is no output schema and no annotations, the description provides a strong overview of inputs, behavior, and outputs, including failure handling. It does not specify timeout outcomes, but the timeout_ms parameter in the schema partially addresses that. Overall, it gives an agent sufficient context to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema covers 100% of parameters with detailed descriptions, so baseline is 3. The description adds minimal extra parameter context (e.g., 'current or given commit' aligns with ref, 'local git repository' aligns with cwd), but it does not meaningfully enhance the schema's already-complete parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool waits for GitHub Actions CI completion and returns a summary (ok/conclusion/url), with failed-step logs on failure. It uses a specific verb ('Чекає' – waits) and identifies the resource and scope (current/given commit in local git repo), making the purpose unambiguous even without sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly frames the tool as a replacement for the manual 'push -> sleep -> gh run list -> gh run view --log-failed' cycle, clearly indicating when to use it. It provides a concrete alternative scenario and positions this tool as the streamlined single-call solution.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedwatch_ci

TDQS

A4.4/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is zero ambiguity in tool selection. The tool's purpose is clearly defined and distinct.

Naming Consistency4/5

With a single tool, naming consistency is trivially maintained. The name 'watch_ci' is descriptive and follows a verb_noun pattern, though no comparison set exists to evaluate full consistency.

Tool Count5/5

A single-purpose server with one tool is well-scoped. The tool encapsulates a complete workflow (waiting for CI and returning results), avoiding unnecessary fragmentation.

Completeness4/5

The tool covers the core CI-watching workflow effectively, including failure log retrieval. Minor gaps exist (e.g., no explicit cancel or list operations), but they are outside the tool's stated purpose and do not hinder its primary function.

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues

Related MCP Connectors

Related MCP Servers