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FlowLLM-AI

Finance MCP

by FlowLLM-AI

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    TDQS

    C2.5/5.0

    Scored across 9 tools

    Disambiguation2/5

    Multiple tools have overlapping or unclear purposes. dashscope_search, mock_search, and tavily_search all appear to perform internet searches with similar descriptions, creating significant ambiguity. Additionally, execute_code and execute_shell both handle code execution but in different environments, which could confuse agents about when to use each. The finance-specific tools (extract_entities_code, history_calculate) are more distinct but the overall set has poor separation.

    Naming Consistency3/5

    The naming follows mixed conventions. Most tools use snake_case (crawl_url, dashscope_search, execute_code, etc.), which is good, but there's inconsistency in verb usage and structure. Some names describe actions (crawl_url, execute_code), others describe functions (extract_entities_code, history_calculate), and react_agent uses a different pattern entirely. While readable, there's no consistent verb_noun pattern throughout the set.

    Tool Count4/5

    With 9 tools, the count is reasonable for a finance server that appears to combine web research, code execution, and financial analysis. However, the presence of three nearly identical search tools (dashscope_search, mock_search, tavily_search) suggests some redundancy that inflates the count unnecessarily. The scope feels slightly bloated rather than tightly focused.

    Completeness2/5

    For a 'Finance MCP', the tool surface has significant gaps. While it includes some financial entity extraction and A-share stock analysis, there's no coverage of core financial operations like portfolio management, transaction execution, market data retrieval beyond specific stocks, or integration with financial APIs. The tools are more generic (web crawling, code execution, search) than finance-specific, leaving the domain poorly served despite the server name.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues