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Alternatives to Config Check

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    Related Servers

    • F
      license
      B
      quality
      F
      maintenance
      Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.
      5
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to lint MCP tool schemas inside a conversation, flagging JSON Schema constructs that break specific clients like Claude, Cursor, Gemini, VS Code Copilot, and OpenAI. It reports per-client compatibility, explains rules, and suggests or applies safe auto-fixes before deployment.
      103 npm
      1
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.
      5
      33 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Validates JSON values against JSON Schema (draft-07). Enables schema validation for structured data.
      195 npm
      MIT

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a clearly distinct function: config_help explains settings, find_schema identifies the applicable schema, and validate_config checks a file. Their descriptions explicitly cross-reference each other, leaving no ambiguity about which tool to use.

    Naming Consistency4/5

    All names use snake_case and are readable, but config_help breaks the verb_noun pattern set by find_schema and validate_config. The deviation is minor and does not impede understanding.

    Tool Count5/5

    Three tools form a well-scoped set for config schema assistance: one to locate schemas, one to explain settings, and one to validate files. Each tool earns its place, and the count is neither thin nor bloated.

    Completeness4/5

    The surface covers the core lifecycle of schema discovery, setting explanation, and config validation. Minor gaps exist, such as no explicit schema browsing beyond search or auto-fix suggestions, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues