Skip to main content
Glama
souvikdu

perfonext-render-mcp

Related Servers

Alternatives to perfonext-render-mcp

  • 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
    81 npm
    MIT

Related Servers

  • 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.
    4 npm
    1
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables users to ask about render performance in React and React Native apps via natural language, exposing tools for listing render hotspots and explaining component re-renders.
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Monitors Next.js development servers with intelligent error categorization, smart diagnostics, and performance tracking.
    8
    MIT
  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces documentation with performance guidance.
    -

TDQS

A4/5.0

Scored across 10 tools

Disambiguation4/5

Most tools are clearly separated by role: capture lifecycle (begin/run/stop/diagnostic), manual loading, and distinct analysis outputs. The main ambiguity is that both begin_render_analysis and load_render_profile are described as entry points for the manual path, and get_render_summary/get_hot_commits both mention commit spikes, though descriptions are specific enough to disambiguate.

Naming Consistency5/5

All tool names follow a predictable snake_case verb_noun pattern. Analysis tools use get_ or compare_, capture lifecycle tools use begin/run/stop, and the manual path uses load_, so an agent can infer the role of each tool from its name.

Tool Count5/5

Ten tools is well-scoped for a render-profiling server: there are enough tools to cover both manual and live capture workflows plus analysis, but none feel redundant or purely decorative. Each tool earns its place in a focused pipeline.

Completeness4/5

The core profiling workflows are well covered: manual JSON loading and live capture both lead to analysis tools, and compare_renders adds regression diffing. The only minor gaps are profile-management conveniences like listing loaded profiles or deleting them, and there is no deep single-commit flamegraph drill-down beyond get_hot_commits.

Maintenance

ActivityActive
ResponsivenessNo issues