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Sudhan30/freshprobe

by Various

Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content changes. CLI + MCP server + HTTP API.

S

MCP

Sudhan30/freshprobe

Added 1 June 2026

#ai-agents #cli #data-freshness #data-quality #freshness #golang #llm #mcp

Overview

Freshprobe is a data freshness verification tool for AI agents. It probes endpoints to detect cache staleness, latency, TLS health, and content changes. The tool provides a CLI, an MCP server, and an HTTP API.

Best for

Best for
AI agent developers needing automated endpoint freshness monitoring

Use cases

  • Verifying AI agent data freshness from endpoints
  • Monitoring endpoint cache staleness and TLS health
  • Detecting content changes and latency issues automatically

Notes

Freshprobe is a data freshness verification tool for AI agents. It probes endpoints to detect cache staleness, latency, TLS health, and content changes. The tool provides a CLI, an MCP server, and an HTTP API.

0 stars on GitHub. Last updated 2026-04-02. Licensed MIT.

Use cases

  • Verifying AI agent data freshness from endpoints
  • Monitoring endpoint cache staleness and TLS health
  • Detecting content changes and latency issues automatically

Pros

  • Open source and written in Go for performance
  • Offers multiple interfaces: CLI, MCP server, and HTTP API
  • Focuses on concrete freshness metrics without hype

Cons

  • Zero stars indicates limited community adoption or maturity
  • Requires Go toolchain to compile and run (no prebuilt binaries confirmed)
  • Potential redundancy with existing monitoring tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and written in Go for performance
  • Offers multiple interfaces: CLI, MCP server, and HTTP API
  • Focuses on concrete freshness metrics without hype

Cons

  • Zero stars indicates limited community adoption or maturity
  • Requires Go toolchain to compile and run (no prebuilt binaries confirmed)
  • Potential redundancy with existing monitoring tools