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Is Package Intel MCP reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.1.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "npm-pypi-crates-packages": {
      "url": "https://package.datakoot.com/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.datakoot/npm-pypi-crates-packages"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Real task being tested — Faceabot asked package_search to do a small read-only task 1 time(s): 1 returned a real result, the last 1 in a row. Last result: ok in 1641 ms.

Sample input: {"ecosystem":"npm","query":"hello world"}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-06 13:05 UTC✅ ok✅ done4184 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.

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Publisher of Package Intel MCP?

Show your measured reliability on your README or website:

Faceabot reliability badge for Package Intel MCP

[![Measured by Faceabot](https://faceabot.com/badge/com.datakoot/npm-pypi-crates-packages.svg)](https://faceabot.com/tools/com.datakoot/npm-pypi-crates-packages)
Data in JSON: /api/catalog?id=com.datakoot/npm-pypi-crates-packages · Stop probes: POST /api/reliability/opt-out

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