mcpField
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FRESH — Shared URL Freshness Intelligence

FRESH — Shared URL Freshness Intelligence

Remote
fresh-api-production-c783.up.railway.appBrowser Automation0Updated 6w ago

About FRESH — Shared URL Freshness Intelligence

FRESH gives AI agents shared URL freshness assessments to help choose between reusing cached knowledge and retrieving a resource again. It uses observations such as timestamps, ETags, Last-Modified values, and content hashes to return conservative REUSE, REFETCH, or UNKNOWN decisions.

Key features

  1. 01Assess whether a URL merits retrieval again
  2. 02Record timestamps, ETags, and content hashes
  3. 03Provide REST and MCP interfaces
  4. 04Store observations using hashed URLs and aggregate metadata
  5. 05Distinguish credible real use from controlled tests

Use cases

  1. 01Check whether a cached page is still reusable before fetching
  2. 02Decide whether to re-render or re-embed URL content
  3. 03Share URL change observations across callers

MCP support

FRESH provides a remote MCP server with fresh_check and fresh_observe tools, for deciding whether to retrieve a URL again and submitting privacy-safe freshness evidence.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://fresh-api-production-c783.up.railway.app/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
urlstringYes
lastSeenAtstringYes
toleranceSecondsnumberNo

Details

From the project README

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 enough
  • REFETCH — the URL is likely stale enough to justify another retrieval
  • UNKNOWN — 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 again
  • fresh_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.

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