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"A server to help LLMs with planning using an MCP framework" matching MCP servers:

  • A
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    提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器,支持盘中即时更新及批量查询。
    24
    MIT
  • A
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    quality
    C
    maintenance
    An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.
    1
    MIT
  • A
    license
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    quality
    D
    maintenance
    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
    27
    MIT
  • F
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    quality
    C
    maintenance
    Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.
  • A
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    A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
    2
    41
    646
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.
    Apache 2.0
  • F
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    D
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    Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.
  • F
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    quality
    C
    maintenance
    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
  • A
    license
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    quality
    D
    maintenance
    An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.
    6
    4
    MIT
  • A
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    quality
    B
    maintenance
    Enables AI agents to query merchant operational signals like return rates, fulfillment accuracy, and chargeback ratios published through the Disclose protocol. Provides tools to fetch merchant disclosures and check signal coverage for completeness.
    MIT
  • A
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    quality
    D
    maintenance
    Enables users to query Chinese A-share stock data, including stock basics, historical prices, financial reports, and macroeconomic indicators.
    1
    MIT
  • A
    license
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    quality
    C
    maintenance
    Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.
    MIT
  • A
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    quality
    C
    maintenance
    Enables users to query IPVA (vehicle property tax) data from the official SEFAZ TO source via a read-only MCP tool.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that provides Large Language Models with access to YNAB (You Need A Budget) budgets, allowing them to fetch budget data including accounts, categories, and category groups.
    6
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables users to interact with the Upstox trading API via natural language to retrieve account information such as profile, funds, holdings, positions, and orders.
    1
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.
    MIT