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cloudflare-workspace-mcp

by NingFlos
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    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

    A3.7/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: file operations, shell execution, Cloudflare resource listing, API gateway, D1 query, and deployment. However, cloudflare_status, cloudflare_api, and d1_query all offer Cloudflare data access with different scope, so an agent could be uncertain which to use for a given resource query.

    Naming Consistency3/5

    Naming mixes verb_noun patterns for workspace tools (read_file, write_file, list_files) with product-prefixed names for Cloudflare tools (cloudflare_status, d1_query, cloudflare_deploy). The conventions are readable but not uniformly applied, reducing predictability.

    Tool Count5/5

    Eight tools is well-scoped for a workspace-and-Cloudflare MCP server. Each tool fills a distinct role—file operations, command execution, resource inspection, generic API access, D1 queries, and deployment—without unnecessary bloat.

    Completeness3/5

    The set covers core file read/write/list and Cloudflare management via a generic API gateway, but lacks a dedicated delete_file operation and a D1 write query. These gaps can be worked around using execute_command or cloudflare_api, but they are obvious omissions for a workspace and database tool.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources