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  1. Home
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  3. Loopsense
Loopsense logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:04:39 PM

Loopsense

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
cimonitoringwebhooksfile-watchingprocess-management

Open-source MCP server providing real-time feedback on CI, processes, file changes, HTTP endpoints, and webhooks for AI coding agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "jarvisassistantux-loopsense": {
      "command": "npx",
      "args": [
        "-y",
        "@loopsense/mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ“Š More in Monitoring

Overview

LoopSense monitors downstream effects of AI agent actions like code pushes, test runs, and deployments by watching CI workflows, local processes, file system changes, HTTP endpoints, and incoming webhooks. It surfaces these events back to the agent to close the feedback loop and improve visibility. Use it when you need real-time monitoring and event-driven feedback for automated coding workflows.

Use cases

โ€ขMonitor GitHub Actions CI workflow status and results
โ€ขCapture local process output and exit codes
โ€ขWatch file or directory changes matching patterns
โ€ขPoll HTTP endpoints for status and content changes
โ€ขReceive and handle incoming webhook payloads

Key features

โ€ขPolling GitHub Actions CI runs every 30 seconds
โ€ขLocal process spawning with stdout/stderr capture
โ€ขFile system watching with pattern matching
โ€ขHTTP endpoint polling with status and body assertions
โ€ขLightweight HTTP server for incoming webhooks
โ€ขPersistent event storage with automatic watch resumption

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Loopsense.

Extracted Tool Capabilities
Polling GitHub Actions CI runs every 30 seconds
Local process spawning with stdout/stderr capture
File system watching with pattern matching
HTTP endpoint polling with status and body assertions
Lightweight HTTP server for incoming webhooks
Persistent event storage with automatic watch resumption

Documentation Overview

LoopSense MCP Server

LoopSense Demo

LoopSense is an open-source MCP server that closes the feedback loop for AI coding agents โ€” giving them real-time visibility into CI results, deployments, test outcomes, and file system changes.

What it does

When an AI agent pushes code, runs tests, or triggers a deployment, LoopSense watches the downstream effects and surfaces them back to the agent. No more blind actions.

Supported sources:

  • GitHub Actions CI runs (polling)
  • Local processes (stdout/stderr capture, exit codes)
  • File system changes (via chokidar)
  • HTTP endpoints (polling, with status/body assertions)
  • Incoming webhooks (lightweight HTTP server)

Requirements

  • Node.js 18+

Installation

Terminal
npm install -g @loopsense/mcp

Or run directly with npx:

Terminal
npx @loopsense/mcp

MCP Configuration

Claude Code (one-liner):

Terminal
claude mcp add loopsense -e GITHUB_TOKEN=ghp_yourtoken -- npx -y @loopsense/mcp

Or add manually to your claude_desktop_config.json (or equivalent MCP host config):

config.json
{
  "mcpServers": {
    "loopsense": {
      "command": "npx",
      "args": ["-y", "@loopsense/mcp"],
      "env": {
        "GITHUB_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Or if installed globally:

config.json
{
  "mcpServers": {
    "loopsense": {
      "command": "loopsense",
      "env": {
        "GITHUB_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Environment Variables

VariableDescription
GITHUB_TOKENGitHub personal access token for CI polling

Tools

watch_ci

Watch a GitHub Actions workflow run. Polls every 30 seconds and emits events on status changes.

config.json
{
  "owner": "acme",
  "repo": "api",
  "branch": "main",
  "action_id": "deploy-2024-01"
}

watch_process

Spawn a local process and capture its output and exit code.

config.json
{
  "command": "npm",
  "args": ["test"],
  "cwd": "/path/to/project",
  "action_id": "run-tests"
}

watch_file

Watch a file or directory for changes.

config.json
{
  "path": "/path/to/dir",
  "pattern": "**/*.ts",
  "action_id": "file-changes"
}

watch_url

Poll an HTTP endpoint and detect status or body changes.

config.json
{
  "url": "https://api.example.com/health",
  "interval": 15,
  "expect": {
    "status": 200,
    "body_contains": "\"status\":\"ok\""
  }
}

watch_webhook

Start a local HTTP server to receive webhook payloads.

config.json
{
  "source_type": "vercel",
  "port": 9876
}

Configure your webhook sender to POST to http://localhost:9876.

check_consequences

Get events for a specific action or all recent events.

config.json
{
  "action_id": "deploy-2024-01"
}

list_watches

List all active watchers.

cancel_watch

Stop a watcher by ID.

config.json
{
  "watch_id": "uuid-here"
}

poll_events

Get events since a timestamp (fallback for clients without notification support).

config.json
{
  "since": "2024-01-01T00:00:00.000Z"
}

Resources

LoopSense exposes two MCP resources that update reactively:

  • loopsense://timeline/recent โ€” last 100 events across all watches
  • loopsense://watches/active โ€” all currently active watches
  • loopsense://consequences/{action_id} โ€” events for a specific action

Usage Example

An agent workflow might look like:

  1. Agent pushes code to a branch
  2. Agent calls watch_ci with action_id: "my-pr-123"
  3. LoopSense polls GitHub Actions every 30 seconds
  4. When CI completes, agent calls check_consequences with action_id: "my-pr-123"
  5. Agent sees the test failures and fixes them

Data Storage

Events and watch records are persisted to ~/.loopsense/events.db (SQLite). Active watches are resumed automatically on server restart.

Development

bash
git clone https://github.com/jarvisassistantux/loopsense
cd loopsense
npm install
npm run dev       # run in dev mode (tsx)
npm run build     # compile with tsup
npm run typecheck # TypeScript check
npm test          # run tests

License

MIT

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Loopsense

It supports GitHub Actions CI runs, local processes, file system changes, HTTP endpoints, and incoming webhooks.

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Technical Specs & Signals

Category๐Ÿ“ŠMonitoring
PricingFree
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
47Quality signal: Fair ยท 47/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev ยท @loopsense/mcp (npm)

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