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Faneraiy14

ci-watch-mcp

by Faneraiy14

ci-watch-mcp

An MCP server with a single watch_ci tool — it waits for GitHub Actions CI to complete for a commit in a local git repository and, in one call, returns a summary along with the error log if something failed.

Why

Without it, checking whether CI passed after a push is done manually:
push one → sleep → gh run list → if the status is "in_progress", sleep again → gh run list again → if conclusion: failure, work through a separate gh run view <id> --log-failed call to see what broke. watch_ci does all this in a single call and immediately returns the failure log, without a manual wait loop.

Related MCP server: claude-beacon

Tool

watch_ci

Parameter

Type

Default name

Description

cwd

string

— (required)

Path to the local clone of the repository with origin on GitHub

ref

string

HEAD

SHA (full or short) or any git-ref

workflow

string

Filter by workflow name if the repo has several

timeout_ms

number

300000 (5 min)

Ceiling: 1200000 (20 min)

poll_interval_ms

number

5000

Polling interval for gh run list

Returns:

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

  • { ok: false, conclusion: "failure", url, sha, workflowName, failedLogs } — CI failed; failedLogs contains the tail of gh run view --log-failed (truncated to 8000 chars, from the end — that is the most informative part);

  • { ok: false, timedOut: true, status, url, message } — did not finish/start within the allotted time.

If ref does not resolve to an actual commit (i.e. a typo in the SHA), the tool immediately throws an error instead of silently disposing until the timeout.

Installation

cd ci-watch-mcp
npm install

Connect to Claude Code:

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

Requires an installed and authenticated gh CLI (gh auth status).

Tests

npm test

The tests run against already finished real runs in the secretscan repository (successful, failed, and a commit with none of the CI runs) — no need to wait for a live push.

License

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".

ParametersJSON Schema
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. Dates show when Glama detected each change.

  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 issues

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