mcp-dep-tools
Related Servers
Alternatives to mcp-dep-tools
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceMCP server providing npm registry search, package details, dependency auditing, bundle size estimation, and package comparison tools for AI agents.525 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides AI agents with real-time package health data, vulnerability reports, and dependency graphs from PyPI and OSV.dev.MIT
- FlicenseAqualityDmaintenancePackage intelligence MCP server. Stops AI agents from installing hallucinated/malicious packages across 17 ecosystems. 22 tools, free, no auth.221-

@lpm-registry/mcp-serverofficial
AlicenseAqualityCmaintenanceMCP server for the LPM package registry, enabling AI tools to search, browse source code, install packages, check quality, and more.177 npmISC- AlicenseNot gradedqualityDmaintenanceMCP server that checks npm and PyPI package health, providing maintenance signals, version info, CVE counts, and alternative suggestions.MIT
- AlicenseNot gradedqualityAmaintenanceMCP server that provides 25 tools for AI agents to query and modify a dependency graph, enabling impact analysis and provenance tracking for AI-assisted development.8MIT
TDQS
Scored across 5 tools
Each tool clearly targets a distinct aspect of dependency management: size estimation, tree visualization, license checking, outdated detection, and security audit. There is no overlap in functionality.
All tools follow a consistent 'dep_<verb>_<object>' pattern with snake_case. The only slight deviation is 'dep_find_outdated' using 'find' instead of 'check' or 'analyze', but the pattern remains clear and predictable.
With 5 tools, the server covers the main concerns of dependency analysis (size, tree, licenses, outdated, security) without being too sparse or bloated. The count is well-scoped for the domain.
The tools provide comprehensive coverage for inspecting dependencies. Minor gaps exist, such as the absence of a tool to automatically update or fix issues, but the analysis functionality is complete for typical workflows.