Skip to main content
Glama
Abhi-vish

Code Buddy

by Abhi-vish
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Code Buddy

No user-submitted related servers found.

    Related Servers

    • MCP Claude Code

      SDGLBL
      A
      license
      A
      quality
      B
      maintenance
      An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
      15
      305
      MIT

    • FastFS-MCP

      aj-geddes
      A
      license
      Not graded
      quality
      D
      maintenance
      A high-speed MCP server that enables AI assistants like Claude to interact with local filesystems, manage Git repositories, and provide interactive experiences through a standardized JSON-based protocol.
      6
      MIT

    • jlbloomer-mcp-server

      jared-bloomer
      A
      license
      B
      quality
      D
      maintenance
      A personal MCP server for AI assistant integration that provides custom tools, resources, and prompts for use with Claude Desktop and other MCP-compatible clients.
      2
      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

    C2.9/5.0

    Scored across 28 tools

    Disambiguation3/5

    Most tools have distinct purposes, but there is notable overlap in several areas. For example, 'curl_tool' and 'http_request_tool' both handle HTTP requests, and 'docker_tool', 'docker_compose_tool', and 'docker_build_tool' are all Docker-related with unclear boundaries. However, descriptions help differentiate many tools like 'find_replace' vs. 'find_replace_all'.

    Naming Consistency4/5

    Naming is mostly consistent with a verb_noun pattern (e.g., 'analyze_code', 'copy_file', 'create_directory'), but there are minor deviations such as 'curl_tool' and 'docker_tool' using '_tool' suffix inconsistently. Overall, the pattern is readable and predictable across most tools.

    Tool Count2/5

    With 28 tools, the count feels excessive for a general-purpose coding assistant. Many tools could be consolidated (e.g., Docker-related tools, HTTP request tools) or are redundant (e.g., 'run_command' vs. specific command tools). This bloat may overwhelm agents and reduce usability.

    Completeness5/5

    The tool set provides comprehensive coverage for code development tasks, including file operations (CRUD), code analysis, formatting, linting, Docker management, Git operations, and HTTP requests. There are no obvious gaps; agents can handle a wide range of coding workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources