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Tailscale Compute MCP

by dylantirandaz
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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

    A4.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    compute_status and compute_run are clearly distinct: one inspects the remote node's configuration and health, while the other executes a command. There is no overlap or ambiguity between the two tools.

    Naming Consistency5/5

    Both tools follow the same compute_ prefix with a concise action suffix (status, run), creating a consistent and predictable naming pattern.

    Tool Count4/5

    With only two tools, the server is under the typical 3-15 range, but the scope is intentionally narrow—checking status and running commands on a configured remote node. Each tool is essential and earns its place.

    Completeness5/5

    The server covers the core workflow: verify connectivity/state with compute_status and perform remote work with compute_run, which includes automatic project syncing. No obvious gaps exist for its stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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