Skip to main content
Glama
nabhat

sfcc-logs-mcp

by nabhat

Related Servers

Alternatives to sfcc-logs-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.
      8
      22 PyPI
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Provides comprehensive access to Salesforce B2C Commerce Cloud development tools including SFCC API documentation, best practices guides, log analysis, and system object definitions. Enables AI assistants to help with SFCC development tasks through both documentation-only mode and full credential-based mode.
      15
      2,240 npm
      28
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents such as Cursor and Claude Code to inspect local log files through MCP tools for tailing, searching, filtering, statistics, and root-cause diagnosis using local Ollama or a built-in rule engine.
      9
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
      6
      6
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding agents with tools to query, search, and analyze persisted HTTP request logs, enabling efficient debugging without terminal noise.
      MIT

    TDQS

    A3.7/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct log operation or type (error, warn, info, debug, job, general). Descriptions clearly differentiate overlapping aspects like search_job_logs vs search_logs.

    Naming Consistency5/5

    All tools follow a verb_noun pattern with consistent use of get_, search_, clean_, summarize_. No mixing of conventions.

    Tool Count5/5

    13 tools is well-scoped for a log management server, covering reading by severity, searching, summarizing, clearing, and job-specific operations without excess.

    Completeness5/5

    The toolset covers all major log operations: retrieval by severity, search, summary, file listing, clearing, and job log details. No obvious gaps for the domain.

    Maintenance

    ActivityStale
    ResponsivenessNo issues