grok-mcp
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TDQS
Scored across 2 tools
The two tools have completely distinct purposes: 'grok' handles AI analysis and search operations, while 'grok_budget' manages API budget and spending. There is no overlap in functionality, making it impossible to confuse them.
Both tools follow a consistent naming pattern with the 'grok' prefix and descriptive suffixes ('grok' and 'grok_budget'), using snake_case consistently. This creates a predictable and readable naming scheme.
With only two tools, the server feels severely under-scoped for a Grok AI integration. Key operations like managing conversation history, configuring modes, or handling errors are missing, making the set too thin for practical agent use.
The toolset is highly incomplete for an AI assistant domain. It lacks core functionalities such as conversation management, response customization, error handling, or user preference settings, leaving significant gaps that will hinder agent workflows.