MCP.Market

FRESH — Shared URL Freshness Intelligence MCP server

online · 100% uptime
by GSterlingPress·io.github.GSterlingPress/fresh·v0.1.3

Decide whether an agent should reuse cached URL knowledge or fetch the resource again.

A88/100grade A
What users say
No reviews yet
Be the first
Safety scan
A88/100

full report

Adoption
Growing

0 stars

Reviews

Write one

Nobody has reviewed FRESH — Shared URL Freshness Intelligence yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

FRESH — Shared URL Freshness Intelligence tools (2)

write = sends, deletes, buys or posts
  • fresh_checkFree

    Return REUSE, REFETCH, or UNKNOWN before retrieving a URL again.

  • fresh_observeFree

    Report privacy-safe freshness metadata from a completed retrieval.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 320ms20/20
  • Tool poisoning2 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 20 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How FRESH — Shared URL Freshness Intelligence compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 80% of 4,460 AI and agents servers
Tools
2
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
332 ms
faster than 42% of 2,331 AI and agents servers

What its tools let an agent do: 2 read

Install FRESH — Shared URL Freshness Intelligence in Claude Code, Cursor or VS Code

claude mcp add --transport http fresh https://fresh-api-production-c783.up.railway.app/mcp
Add to Cursor

What the publisher says

From the FRESH — Shared URL Freshness Intelligence repository's README, as published. We do not edit it. Read it 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 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 KNOWNVALIDATOR, LIKELYVALIDATOR, CONTROLLEDTEST, UNKNOWNMACHINE, or CREDIBLEREALUSE. Only CREDIBLEREALUSE 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.

Nothing above is checked by us. What we check is on the safety report.

FRESH — Shared URL Freshness Intelligence: common questions

Is FRESH — Shared URL Freshness Intelligence MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the FRESH — Shared URL Freshness Intelligence safety report
How do I install FRESH — Shared URL Freshness Intelligence?
It runs remotely at fresh-api-production-c783.up.railway.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does FRESH — Shared URL Freshness Intelligence need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is FRESH — Shared URL Freshness Intelligence maintained?
The last commit was 52 days ago (2026-09-13). The latest release is v0.1.3.
Is FRESH — Shared URL Freshness Intelligence up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of FRESH — Shared URL Freshness Intelligence?
Servers from other publishers that do the same job: Basic Memory MCP server, IWE (iwe.md) MCP server and Mnemoverse Memory MCP server.
How does FRESH — Shared URL Freshness Intelligence compare with other AI and agents MCP servers?
safety score 88/100 (higher than 80% of 4,460 AI and agents servers); tools 2 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to FRESH — Shared URL Freshness Intelligence

Same job from other publishers: the closest match first, then the best rated.

  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A
  • Agent Lsp
    Orchestrates language servers into 65 code-intelligence tools across 32 languages, token-optimized.
    A
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A

More from GSterlingPress →