packagerating MCP Server
OfficialRelated Servers
Alternatives to packagerating MCP Server
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Related Servers
- AlicenseAqualityCmaintenanceSupply chain risk scoring for npm, PyPI, and GitHub repos850 npm8MIT
- FlicenseAqualityDmaintenancePackage intelligence for AI coding agents that checks npm and PyPI package health, deprecation, vulnerabilities, bundle size, and compares alternatives.5-
- AlicenseNot gradedqualityCmaintenanceEnables coding agents to retrieve maintainer-written release notes and compare installed versus target dependency versions, search packages, and report on projects pushed to a dashboard.MIT
- AlicenseNot gradedqualityBmaintenanceEnables checking whether software packages are deprecated, archived, stale, active, or unknown with supporting evidence, auditing dependency manifests, and looking up runtime support and end-of-life dates.MIT

Fetter MCPofficial
FlicenseNot gradedqualityDmaintenanceProvides real-time Python package vulnerability data, enabling AI agents to check CVEs, CVSS scores, and safe versions for informed dependency decisions.1-- AlicenseAqualityBmaintenanceEnables checking packages across npm, PyPI, Go, Maven, Cargo, NuGet, and RubyGems for existence, deprecation, known vulnerabilities, and license issues before installation, providing verdicts like does_not_exist, risky, verify, or ok.3MIT
TDQS
Scored across 3 tools
Each tool has a distinct purpose: listing scored packages, fetching a single package's score, and enqueueing crawls without waiting. Although get_package can trigger a crawl, the key difference is that request_crawl is for background pre-warming, so there is no ambiguity.
All tool names follow the same verb_noun pattern: list_packages, get_package, request_crawl. The naming is predictable and consistently formatted.
With only 3 tools, the server is tightly scoped to its purpose of providing package ratings. Each tool is necessary and there is no bloat, making the count feel intentional rather than thin.
The tool surface covers the core workflows: listing available packages, retrieving detailed scores, and requesting background crawls for pre-warming. There are no obvious operational gaps for the stated domain.