Loopsense

Community Developer tools

Feedback loop for coding agents: CI monitoring, process watching, file change detection and HTTP polling.

What can you do with Loopsense?

  • 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)

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. LoopSense MCP Server
  2. What it does
  3. Requirements
  4. Installation
  5. MCP Configuration
  6. Environment Variables
  7. Tools
  8. Resources
  9. Usage Example
  10. Data Storage
  11. Development
  12. License

LoopSense MCP Server

LoopSense is an open-source MCP server that closes the feedback loop for AI coding agents — 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

npm install -g @loopsense/mcp

Or run directly with npx:

npx @loopsense/mcp

MCP Configuration

Claude Code (one-liner):

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):

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

Or if installed globally:

{
  "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.

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

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

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

Watch a file or directory for changes.

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

Poll an HTTP endpoint and detect status or body changes.

{
  "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.

{
  "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.

{
  "action_id": "deploy-2024-01"
}
list_watches

List all active watchers.

cancel_watch

Stop a watcher by ID.

{
  "watch_id": "uuid-here"
}
poll_events

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

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

Resources

LoopSense exposes two MCP resources that update reactively:

  • loopsense://timeline/recent — last 100 events across all watches
  • loopsense://watches/active — all currently active watches
  • loopsense://consequences/{action_id} — 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

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

Frequently asked questions

What is Loopsense?

Feedback loop for coding agents: CI monitoring, process watching, file change detection and HTTP polling.

How do I install Loopsense?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Loopsense open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Loopsense?

It is published by jarvisassistantux. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.