Skip to main content
Glama
agent-hanju

char-index-mcp

by agent-hanju

Related Servers

Alternatives to char-index-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.
      14
      9 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides advanced string manipulation tools for AI agents, including text analysis, transformation, diffing, templating, and slug generation.
      24 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides tools for AI models to count characters and words in text, supporting English and other space-delimited languages.
      1
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables LLMs to efficiently read, write, and refactor code using precise AST-based operations, reducing token usage and context window waste.
      25
      25 npm
      3
      MIT
    • A
      license
      A
      quality
      Not graded
      maintenance
      Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.
      3
      11 npm
      -

    TDQS

    A3.6/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: character counting, deletion, extraction, finding indices, regex matching, insertion, replacement, and splitting. The descriptions precisely differentiate operations like find_all_char_indices vs find_nth_char, and extract_between_markers vs extract_substrings.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., count_chars, delete_range, extract_between_markers). The naming is predictable and readable throughout, with verbs like count, delete, extract, find, insert, replace, and split consistently applied.

    Tool Count5/5

    12 tools are well-scoped for a character/index manipulation server, covering essential operations without bloat. Each tool earns its place by addressing specific needs like character statistics, range operations, substring extraction, and pattern matching.

    Completeness5/5

    The toolset provides complete coverage for text manipulation tasks: counting, insertion, deletion, replacement, extraction, finding indices (both character and substring), regex matching, and splitting. There are no obvious gaps; agents can perform a full lifecycle of operations on text data.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues