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cnghockey

Sats4AI

by cnghockey
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JavaScript
Remote

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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

A4.1/5.0

Scored across 49 tools

Disambiguation5/5

Each tool targets a distinct action or domain, with detailed descriptions that clearly differentiate even related tools (e.g., ai_call vs. open_voice_bridge vs. place_call). No two tools have ambiguous or overlapping purposes.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (e.g., generate_image, extract_document, send_sms). No mixing of conventions, making the set predictable and easy for agents to navigate.

Tool Count4/5

At 49 tools, the count is high but appropriate for the broad scope of the server, which covers voice, video, image, document, and communication services. Each tool earns its place, though the size may feel heavy for narrower use cases.

Completeness4/5

The tool set covers a wide range of common AI tasks and includes necessary infrastructure (payment, job status, error codes). Minor gaps exist (e.g., no tool for bulk operations or advanced audio editing), but the surface is mostly complete for the intended domain.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

Resources