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Windows Developer MCP Server

by peeyushcodes
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    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

    B3.1/5.0

    Scored across 112 tools

    Disambiguation3/5

    Most tools are separated by clear domain prefixes such as docker_, git_, github_, sqlite_, and npm_, which helps differentiate them. However, several tools overlap in purpose: fetch_page/extract_text/http_get/check_url all deal with web content, run_powershell and run_script both execute PowerShell scripts, and tree/list_directory/search_files share file-discovery territory.

    Naming Consistency4/5

    The dominant pattern is snake_case verb_noun or domain_verb_noun naming, e.g. delete_file, git_commit, docker_stop, and npm_install. Minor deviations like tree, ping, traceroute, and github_auth_status break the pattern slightly, but overall the naming is predictable and not chaotic.

    Tool Count1/5

    112 tools is an extreme count for a single MCP server, spanning file operations, shell execution, Docker, system information, Python, Node.js, Git, GitHub, networking, SQLite, and project analysis. This broad sprawl imposes a heavy selection burden on agents and goes far beyond a well-scoped tool set.

    Completeness3/5

    The server covers a wide range of developer workflows, but individual clusters have notable gaps: GitHub only lists/gets issues and PRs without create/merge/update operations, Docker lacks image removal and container start, and environment variables can be read but not set. These holes force agents to fall back to generic shell commands or external workflows.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources