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.
MCP
Sudhan30/freshprobe
Added 1 June 2026
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
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