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DimensionPraisonaiHire a 24/7 AI Workforce. Deploy autonomous self-improving agents in 5 lines of code, with memory, RAG, and 100+ LLM support.NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS37 / 100 · D79 / 100 · B
Reliability4 / 2012 / 20
Security and permissions6 / 2016 / 20
Maintenance13 / 2018 / 20
Documentation7 / 2018 / 20
Setup experience7 / 2015 / 20
Best for
  • Python developers who prefer a code-first approach to building AI agents
  • Projects that require deploying multi-agent collaborative systems
  • Applications that need to integrate MCP tools and external services within agents
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Users seeking a no-code visual agent orchestration platform (PraisonAI has a UI, but this MCP server is code-oriented)
  • Scenarios with stringent security requirements or fine-grained access control (additional configuration needed)
  • Projects outside the NPM ecosystem (e.g., pure Python/Go)
  • Environments without network access to deps.dev, OSV.dev, and the npm registry
  • Scenarios requiring maintenance by an official upstream vendor
Required permissions
  • Needs internet access to call LLM APIs (e.g., OpenAI, Anthropic, etc.)
  • May require access to local file system or databases for persistence (depending on configuration)
  • Communicates with clients via stdio by default
  • Network access to the NPM registry and external services (deps.dev, OSV.dev, OpenSSF, npms.io, GitHub)
  • Read access to workspace lockfiles (pnpm-lock.yaml, package-lock., yarn.lock) for cache invalidation
Risks and side effects
  • Depends on external LLM APIs, which may incur costs or data privacy concerns
  • Agents may execute untrusted code or tools; security configuration is important
  • MCP server runs via stdio, potentially exposing local resources to the client
  • Third-party READMEs and changelogs are untrusted external content; they are wrapped in tags with _meta flags but should still be handled cautiously
  • Depends on availability and accuracy of external services
  • Batch requests are capped at 25 packages to prevent registry enumeration; larger sets require batching
  • Third-party open source project, not officially maintained by NPM or Anthropic
Supported clientsClaude Desktop, VS Code, Cursor
Tools019