FRESH — Shared URL Freshness Intelligence
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http fresh-shared-url-freshness-intelligence 'https://fresh-api-production-c783.up.railway.app/mcp'
{
"mcpServers": {
"fresh-shared-url-freshness-intelligence": {
"type": "http",
"url": "https://fresh-api-production-c783.up.railway.app/mcp"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
FRESH
Know whether to fetch again.
FRESH is shared URL freshness intelligence for AI agents. Before re-fetching, re-scraping, re-rendering, or re-embedding a URL, ask whether the previously seen version is probably still fresh enough to reuse.
Production base URL: https://fresh-api-production-c783.up.railway.app
MCP endpoint: https://fresh-api-production-c783.up.railway.app/mcp
FRESH returns one of three decisions:
REUSE— cached knowledge is probably still fresh enoughREFETCH— the URL is likely stale enough to justify another retrievalUNKNOWN— evidence is insufficient; FRESH prefers uncertainty over false confidence
Why FRESH exists
A local cache knows when you last fetched something. It does not know whether the outside resource changed since then, nor what other callers recently observed. FRESH builds shared, privacy-safe URL change history from timestamps, ETags, Last-Modified values, and content hashes.
REST
POST /v1/check
{"url":"https://example.com/docs/api","lastSeenAt":"2026-08-13T12:00:00Z","toleranceSeconds":3600}
POST /v1/observe
{"url":"https://example.com/docs/api","observedAt":"2026-08-13T13:00:00Z","etag":"abc123","lastModified":"Wed, 13 Aug 2026 12:45:00 GMT","contentHash":"sha256:..."}
Raw page content is not required.
MCP
fresh_check— decide whether to retrieve a URL againfresh_observe— report privacy-safe freshness evidence after retrieval
Privacy
FRESH does not need raw page contents, cookies, target-site credentials, or customer payloads. URL keys are stored as one-way hashes with aggregate observation metadata.
Stranger verification
A core-tool invocation is evidence of use, not automatically proof of a genuine stranger. FRESH classifies candidate activity as KNOWN_VALIDATOR, LIKELY_VALIDATOR, CONTROLLED_TEST, UNKNOWN_MACHINE, or CREDIBLE_REAL_USE. Only CREDIBLE_REAL_USE advances stranger milestones.
Our acceptance/smoke traffic uses X-Tollbooth-Internal: 1 or X-Fresh-Internal: 1 so it cannot earn stranger credit.
Production acceptance gate
Every Railway deployment now performs live internal checks against the running service before /health can return 200. The gate exercises REST, UNKNOWN, REUSE, REFETCH, persistent observation reload, MCP initialize, MCP tool discovery, MCP fresh_check, and verifies that the controlled self-test does not increase the verified-stranger count.
Status
v0.1.2 experimental production infrastructure. Priorities: conservative decisions, low latency, sub-penny economics, privacy-safe shared learning, REST + MCP, durable observations, and auditable real-use analytics.
Frequently asked questions
What is FRESH — Shared URL Freshness Intelligence?
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
How do I install FRESH — Shared URL Freshness Intelligence?
It runs as a remote server. In Claude Code: claude mcp add --transport http fresh-shared-url-freshness-intelligence 'https://fresh-api-production-c783.up.railway.app/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does FRESH — Shared URL Freshness Intelligence need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is FRESH — Shared URL Freshness Intelligence open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains FRESH — Shared URL Freshness Intelligence?
It is published by GSterlingPress. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.