deepseek-discuss
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- AlicenseAqualityCmaintenanceLets MCP-aware agents consult rival LLMs mid-conversation, sending questions to a specific provider or fanning out to OpenAI, Gemini, Anthropic, and xAI/Grok in parallel for second opinions.2MIT
- AlicenseAqualityBmaintenanceLets MCP clients like Codex delegate independent sub-tasks to DeepSeek as a sub-agent via a single tool, with optional context, custom system prompts, and configurable model/temperature settings.123 npmMIT
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TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of misselection or overlap with a sibling tool. Its purpose (send a prompt to DeepSeek and get an answer back) is unambiguous.
The single tool follows a clear verb_noun snake_case pattern (ask_deepseek), matching the server's domain naming. With one tool there is no convention mixing to penalize.
The server is deliberately a one-function integration, so a single tool is defensible rather than an extreme mismatch. Still, the surface is thin: there is no way to inspect available models or manage configuration separately.
Core capability (one-shot inference) is covered, but the tool mentions model defaults and returned model metadata without offering any way to discover or select models or continue a conversation. Agents can work around this by passing prompts, but the surface has notable gaps for the stated purpose.