Skip to main content
Glama
yash9439

CodeToPrompt MCP Server

by yash9439
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to CodeToPrompt MCP Server

No user-submitted related servers found.

    Related Servers

    • @rog0x/mcp-file-tools

      rog0x
      A
      license
      A
      quality
      D
      maintenance
      Enables AI agents to explore, analyze, and search file systems, with tools for directory trees, file statistics, duplicate detection, code counting, and multi-criteria file search.
      5
      27 npm
      MIT

    • AITree MCP Server

      Paracci
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to generate annotated file trees, retrieve file statistics, list git-changed files, and read file contents from local directories or GitHub repositories.
      MIT

    • MCP Filesystem Server

      williamRR
      A
      license
      Not graded
      quality
      D
      maintenance
      Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.
      8 npm
      MIT

    • scc-mcp

      NicholasSynovic
      A
      license
      A
      quality
      D
      maintenance
      Exposes boyter/scc code counting and complexity analysis to LLM agents via read-only tools like counting lines, finding top files, and cost estimation.
      7
      BSD 3-Clause

    • omni-rag-mcp

      Suyash2013
      A
      license
      B
      quality
      C
      maintenance
      Enables token-efficient semantic search and analysis over any directory of files through hybrid search, directory overview, structural analysis, and dependency graphs.
      14
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: ctp-analyse-project provides statistical analysis, ctp-get-context generates comprehensive prompts from entire directories, and ctp-get-files retrieves specific file contents. There is no overlap in functionality, making it easy for an agent to select the right tool based on the task.

    Naming Consistency5/5

    All tools follow a consistent 'ctp-verb-noun' naming pattern with hyphens, using descriptive verbs like 'analyse', 'get', and 'get' (though 'get' repeats, it's consistent in structure). The naming is uniform and predictable across all three tools.

    Tool Count3/5

    With only 3 tools, the set feels thin for a server focused on code-to-prompt operations, potentially lacking broader functionality like editing or filtering prompts. However, it covers basic analysis and retrieval tasks adequately for its scope.

    Completeness3/5

    The tools cover analysis and retrieval of codebases, but there are notable gaps such as no tools for modifying prompts, handling dynamic contexts, or integrating with external systems. This limits the server's ability to support full code-to-prompt workflows without workarounds.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources