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Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionHyperTool MCPGive your AI the best tools from all your MCPs 🎯NPM Sentinel MCP ServerAI-powered NPM package analysis MCP server
FMRS43 / 100 · D79 / 100 · B
Reliability6 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance8 / 2018 / 20
Documentation11 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers using AI coding assistants with multiple MCP servers
  • Teams looking to improve AI tool selection accuracy
  • Users who want to organize toolsets to match their workflows
  • Developers auditing NPM dependencies within AI workflows
  • Teams performing supply chain security assessments
  • Users of Claude Desktop, Cursor, or VS Code
Not for
  • Users with only one or two MCP servers and few tools
  • AI applications that don't require complex tool management
  • 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
  • Read and write local configuration (~/.toolprint/hypertool-mcp/) to store toolsets and preferences
  • Launch and manage child processes to proxy MCP servers
  • Communicate with MCP clients over stdio
  • 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
  • Proxied MCP servers may have permissions associated with their tools, such as filesystem access or remote API calls. Users should review the permissions granted to those servers.
  • Misconfiguration can lead to tools not being available. Ensure .mcp.hypertool.json is correctly formatted and contains valid server configurations.
  • Context measurement uses BPE-based approximations and is not exact token counts, so optimization decisions may not be precise.
  • 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, Cursor, Claude CodeClaude Desktop, VS Code, Cursor
Tools219