Skip to main content
Glama
souvikdu

perfonext-profiler-mcp

by souvikdu
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to perfonext-profiler-mcp

Related Servers

  • v8-cpu-profile-decoder-mcp

    vola-trebla
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents, enabling them to analyze CPU consumption, call trees, GC pressure, and async bottlenecks.
    6
    34 npm
    MIT

  • Polar Signals Remote MCP

    polarsignals
    F
    license
    Not graded
    quality
    D
    maintenance
    MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in production systems.
    9
    -

  • mcp-dotnet-diagnostics

    aayushmdesai
    A
    license
    A
    quality
    C
    maintenance
    Live .NET runtime diagnostics for AI assistants. Ask Claude to diagnose memory leaks, GC pressure, LOH fragmentation, and thread starvation in any running .NET process — no code changes required.
    7
    2
    MIT

  • Debugger MCP Server

    Phoenixrr2113
    F
    license
    Not graded
    quality
    D
    maintenance
    Provides real-time debugging, code quality monitoring, and performance insights for React/Next.js applications with features including Chrome DevTools integration, breakpoint management, complexity analysis, and live error streaming.
    8 npm
    1
    -
Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4.2/5.0

Scored across 9 tools

Disambiguation5/5

Each tool maps to a distinct part of the profiling workflow: loading, summarizing, hotspot analysis, per-function detail, comparison, optimization, source inspection, package aggregation, and collection guidance. There is no meaningful overlap that would make an agent choose the wrong tool.

Naming Consistency4/5

Most tools follow a clear snake_case verb_noun pattern such as load_profile, get_hotspots, and compare_profiles. A few names like explain_function and how_to_collect deviate slightly from the predominant get_ style, but the naming is still predictable and readable.

Tool Count5/5

Nine tools is an ideal size for a profiler-analysis server: each tool serves a distinct analytical purpose and the set is neither bloated nor thin. The count feels appropriately scoped to the domain.

Completeness5/5

The tool surface covers the full workflow from capturing/loading profiles to summarizing, exploring hotspots, comparing profiles, reading source context, and identifying expensive packages. There are no obvious dead ends or missing operations that would prevent an agent from completing a typical profiling analysis.

Maintenance

ActivityActive
ResponsivenessNo issues

Resources