A2M LogoA2M
← All listings

resource-sentinel-mcp

MIT License

Resource-aware admission control and telemetry for local AI agent workloads

Key Value Proposition

Prevents agent overload with lease-based admission control and real-time resource telemetry, running fully locally.

Summary

Resource Sentinel MCP brings resource-aware admission control and telemetry to local AI agent workloads. It exposes FastMCP tools for on-demand resource snapshots and execution-slot lease requests, plus a Glitch-compatible HTTP telemetry projection, so agent runtimes can enforce deterministic, fail-closed policies with minimal infrastructure. Install it as a persistent local service and query the MCP, health, or telemetry endpoints from any agent runtime.

Proof Points

  • Exposes FastMCP tools for resource snapshots and execution-slot lease requests
  • Provides a Glitch-compatible HTTP telemetry projection at /api/resource-state
  • Deploys as a persistent local systemd service with a health-check endpoint at /healthz

About

Resource-aware admission control and telemetry for local AI agents

User Reviews

Genuine feedback from the developer community.

You must be signed in to leave a review.

No reviews yet. Be the first to review this project!

Are you the author of this project?

Claim this pre-seeded listing to manage details, edit tags, or upload assets.

Please sign in using the button in the header to claim repository ownership.

Share Project

Project Facts

LicenseMIT
Trust score88/100

List your project with one command.