Skip to main content
Glama
vola-trebla

v8-cpu-profile-decoder-mcp

by vola-trebla

Related Servers

Alternatives to v8-cpu-profile-decoder-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments.
      57
      Rust
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      MCP server for profiling Java applications via JDK utilities (jcmd, jfr, jps). Enables AI assistants to diagnose performance, analyze threads, and inspect JFR recordings without manual CLI usage.
      26
      522 npm
      10
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Analyze V8/Chrome CPU profiles in Next.js & Node.js apps. Hotspots, package cost attribution, and optimization suggestions for MCP clients like Claude Code and GitHub Copilot
      9
      84 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that reduces AI agent token usage by up to 90% through intelligent context compression. Enables efficient code exploration, multi-file refactoring, and debugging by providing tools for smart reading, searching, and managing code context.
      4
      MIT

    TDQS

    A4.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct analytical question: extraction of hot functions, caller analysis, source mapping, GC pressure, profile diffing, and async bottleneck detection. There is no overlap in purpose; each description clearly identifies a unique use case.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores (extract_hottest_functions, analyze_call_tree_path, etc.). The verbs are varied but the structure is uniform, making the set easy to scan and predict.

    Tool Count5/5

    Six tools is well within the ideal range for a specialized server. Each tool covers a meaningful aspect of CPU profile analysis without redundancy or bloat, and the number feels appropriate for the server's scope.

    Completeness4/5

    The tool set covers the primary workflows for CPU profile analysis: identifying hot spots, tracing callers, mapping to source, GC overhead, before/after comparison, and async overhead. Minor gaps exist, such as a tool for basic profile metadata (total samples, duration), but the core diagnostic needs are met.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive