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financial-datasets/mcp-server

默认分支 main · commit 08e7a3db · 扫描时间 2026/6/21 05:03:29

星标 2,198 · Fork 344

本仓库扫描历史

下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。

分数趋势(左 → 右:旧 → 新)

共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。

AI 可见性总分
35 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 1 · 警告 1 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 financial-datasets/mcp-server 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • hightopics#1
    Add relevant topics to the repository

    原因:

    复制粘贴的修复
    ai-agents, financial-data, stock-market, crypto, mcp-server, model-context-protocol, api, python
  • highreadme#2
    Clarify the README introduction to emphasize its role as an AI agent server

    原因:

    当前
    This is a Model Context Protocol (MCP) server that provides access to stock market data from Financial Datasets. It allows Claude and other AI assistants to retrieve income statements, balance sheets, cash flow statements, stock prices, and market news directly through the MCP interface.
    复制粘贴的修复
    The Financial Datasets MCP Server provides a specialized Model Context Protocol (MCP) interface, enabling AI agents like Claude to seamlessly access comprehensive stock market data. This server acts as a dedicated gateway, allowing AI assistants to directly retrieve financial statements, real-time and historical stock prices, and market news in a structured format optimized for AI consumption, differentiating it from raw data APIs or client libraries.
  • mediumreadme#3
    Add a 'Why Use This?' or 'Key Differentiators' section to the README

    原因:

    复制粘贴的修复
    Add a new section, perhaps after 'Introduction' or 'Available Tools':
    
    ## Why Use the Financial Datasets MCP Server?
    
    Unlike direct API integrations or client libraries, this MCP server is specifically engineered to provide AI agents with structured, protocol-driven access to financial data. Key advantages include:
    
    *   **AI-Native Access:** Designed from the ground up for AI assistants, ensuring data is presented in a format optimized for model consumption.
    *   **Unified Protocol:** Standardizes access to diverse financial data (statements, prices, news, crypto) through a single, consistent Model Context Protocol interface.
    *   **Reduced Integration Complexity for AI:** Simplifies the process for AI agents to query and interpret complex financial information without needing to manage multiple API endpoints or data formats.
    *   **Focus on Agent Autonomy:** Empowers AI agents to independently retrieve and analyze financial data, enhancing their capabilities in financial analysis and decision-making.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 financial-datasets/mcp-server
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
Alpha Vantage
在 2 个问题中被推荐 2 次
竞品排行
  1. Alpha Vantage · 被推荐 2 次
  2. Financial Modeling Prep (FMP) API · 被推荐 2 次
  3. Polygon.io · 被推荐 2 次
  4. Quandl (now Nasdaq Data Link) · 被推荐 2 次
  5. yfinance · 被推荐 2 次
  • 品类问题
    How can I integrate stock market data and financial statements into my AI agent?
    你:未被推荐
    AI 推荐顺序:
    1. Alpha Vantage
    2. Financial Modeling Prep (FMP) API
    3. Polygon.io
    4. Quandl (now Nasdaq Data Link)
    5. yfinance
    6. EOD Historical Data
    7. Intrinio

    AI 推荐了 7 个替代方案,却始终没点名 financial-datasets/mcp-server。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Python library to access real-time and historical stock prices, balance sheets, and crypto data?
    你:未被推荐
    AI 推荐顺序:
    1. yfinance
    2. EOD Historical Data (EODHD) API
    3. Alpha Vantage
    4. CoinGecko API
    5. Quandl (now Nasdaq Data Link)
    6. Financial Modeling Prep (FMP) API
    7. Polygon.io

    AI 推荐了 7 个替代方案,却始终没点名 financial-datasets/mcp-server。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    warn

    建议:

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of financial-datasets/mcp-server?
    pass
    AI 明确点名了 financial-datasets/mcp-server

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts financial-datasets/mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 financial-datasets/mcp-server

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo financial-datasets/mcp-server solve, and who is the primary audience?
    pass
    AI 明确点名了 financial-datasets/mcp-server

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 financial-datasets/mcp-server 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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订阅 Pro,解锁深度诊断

financial-datasets/mcp-server — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3