Skip to main content
Glama

Related Servers

Alternatives to ContextGC

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      An AST-based MCP server that provides token-efficient codebase skeletons to LLM agents, reducing context token usage by 80-95% by exposing structural information instead of full source files.
      5
      4 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      D
      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
    • A
      license
      C
      quality
      A
      maintenance
      An MCP server that filters and compresses context by 80-90% before sending to an LLM, using code knowledge graphs and compression.
      20
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Github MCP server optimized for AI assistants — Reduce context window tokens by 71.5% while keeping full functionality.
      7 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that provides ultra-efficient code exploration through AST analysis, reducing LLM token usage by up to 95% while enabling instant call graph generation and dependency analysis for massive codebases.
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      AST-aware code exploration MCP server for AI agents, optimized for token efficiency.
      -

    TDQS

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: freeing cache, compressing error logs, reading structural skeletons, and expanding function bodies. No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun snake_case pattern, e.g., context_gc, parse_error_log, read_code_skeleton, read_function_body. Predictable and clear.

    Tool Count5/5

    Four tools is well-scoped for a server focused on context optimization. Each tool earns its place with a specific function, not too few or too many.

    Completeness4/5

    The tool set covers the key strategies: triggering GC, compressing errors, reading skeletons, and expanding functions. Minor gaps like clearing specific caches exist but do not hinder typical workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues