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305,015 tools. Last updated 2026-07-22 08:29

"Project dependency resolution and analysis" matching MCP tools:

  • Analyze code quality with project grades, per-file health metrics, complexity heatmaps, dependency graphs, dead code detection, and anti-pattern analysis.
    MIT
  • Submit project files for analysis by 45 judges, identifying code duplication, dependency cycles, and cross-file issues.
    MIT
  • Generate a project-wide dependency graph to identify hot spots, heaviest importers, and circular dependencies for code analysis.
    MIT
  • Run all security checks—static analysis, config audit, dependency audit, and optional runtime inspection—on a project directory and produce a combined report.
    MIT
  • Break down complex GitHub tasks into manageable subtasks with AI analysis, dependency detection, and implementation recommendations for better project management.
    MIT

Matching MCP Servers

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    An MCP server that performs comprehensive health checks on project dependencies for JavaScript and Python projects, detecting outdated packages and fetching changelogs.
    Last updated
    1
  • A
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    quality
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    A Model Context Protocol server for checking package versions and metadata across multiple package managers including npm, PyPI, Maven, NuGet, RubyGems, Crates.io, and Go modules.
    Last updated
    29
    1
    MIT

Matching MCP Connectors

  • Submit torrents for media quality analysis to check codec, resolution, and HDR specs before downloading. Receive email notifications when scan results are ready.
    MIT
  • Open a Scrivener project to make it the active project for document editing and analysis. Provide the path to the .scriv folder or .scrivx file to load its metadata.
    AGPL 3.0
  • Get an aggregate overview of codebase dependency health, including counts of circular dependencies, hotspots, unused files, and islands, to decide which analysis to drill into.
    MIT
  • Reads bundle files to extract component contracts and dependency graphs. Use for project overview or detailed component analysis from context files.
    MIT
  • Retrieve technical metadata from a Cloudglue video file including duration, resolution, file size, and processing status. Use when you need video specifications instead of content analysis.
    MIT
  • Confirm the DEM Super-Resolution API is running and ready. Use this to check health status, readiness, and loaded model versions before terrain analysis.
    MIT
  • Render a component file as an image with full dependency resolution using your project's Vite config. Auto-detects framework and saves PNG for visual validation.
    MIT
  • Visualize task dependencies, detect cycles, and review work item states with a complete dependency graph.
    MIT
  • Fetch intraday OHLCV bars at 1, 5, 15, 30, or 60-minute resolution for stock tickers. Includes extended-hours data for 1-minute bars, enabling premarket and after-hours analysis.
    MIT
  • Executes registered reconnaissance tools in dependency-aware waves to extract security signals and build a threat analysis payload.
    MIT