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Is Octocrawl reliable?

Reliable (measured) Yes. Faceabot measured Octocrawl 36 times: 100% of checks succeeded, including the last 36 in a row (last check 2026-10-19 19:05 UTC). It also does the job: its real read-only task worked 36 of 36 times.

Last check: 2026-10-19 19:05 UTC · answered in 6024 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Web pages as clean Markdown and JSON for AI agents, in fewer tokens, with an Evidence Record.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.7.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "octocrawl": {
      "url": "https://mcp.octocrawl.dev/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.77777R7/octocrawl"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Does the job (tested) — Faceabot asked map to do a small read-only task 36 time(s): 36 returned a real result, the last 36 in a row. Last result: ok in 4431 ms.

Sample input: {"url":"https://example.com"}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Other proven tools for the same job

Page Fetch Reliable (measured) · 100%
Read one public web page as clean Markdown with its links, after a robots.txt check. · https://pagefetch.openkrill.app/mcp

Fieldwright Flaky · 83%
Fieldwright: web page to clean Markdown, metadata, JSON-LD, emails, phones. · https://fieldwright.cybermax-tools.workers.dev/mcp?via=mcp-registry

mcp Reliable (measured) · 100%
Read any web page as clean Markdown for AI agents: fetch, search, metadata, links. SSRF-safe. · https://mcp.vanshul.com/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 19:05 UTC✅ ok✅ done6024 ms
2026-10-19 05:25 UTC✅ ok✅ done6877 ms
2026-10-18 13:15 UTC✅ ok✅ done5844 ms
2026-10-18 03:30 UTC✅ ok✅ done4255 ms
2026-10-17 19:30 UTC✅ ok✅ done5930 ms
2026-10-17 11:10 UTC✅ ok✅ done5370 ms
2026-10-17 03:25 UTC✅ ok✅ done6253 ms
2026-10-16 19:45 UTC✅ ok✅ done6266 ms
2026-10-16 12:40 UTC✅ ok✅ done7502 ms
2026-10-16 05:46 UTC✅ ok✅ done5154 ms
2026-10-15 22:50 UTC✅ ok✅ done4748 ms
2026-10-15 15:51 UTC✅ ok✅ done7952 ms
2026-10-15 09:11 UTC✅ ok✅ done5343 ms
2026-10-15 02:40 UTC✅ ok✅ done4974 ms
2026-10-14 20:15 UTC✅ ok✅ done5173 ms
2026-10-14 13:40 UTC✅ ok✅ done5724 ms
2026-10-14 07:16 UTC✅ ok✅ done6853 ms
2026-10-14 00:26 UTC✅ ok✅ done5153 ms
2026-10-13 18:15 UTC✅ ok✅ done9647 ms
2026-10-13 12:10 UTC✅ ok✅ done7755 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Octocrawl →

Publisher of Octocrawl?

Show your measured reliability on your README or website:

Faceabot reliability badge for Octocrawl

[![Measured by Faceabot](https://faceabot.com/badge/io.github.77777R7/octocrawl.svg)](https://faceabot.com/tools/io.github.77777R7/octocrawl)
Data in JSON: /api/catalog?id=io.github.77777R7/octocrawl · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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