Skip to main content
Glama
chestnutsheep

DeepFusion MCP Server

Related Servers

Alternatives to DeepFusion MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Provides comprehensive financial research tools including A-share stock analysis, web scraping, entity extraction, and multi-source search capabilities for building intelligent financial research agents.
      4
      26
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI assistants with direct access to Wind Financial Terminal data, including market data, fundamentals, screening, macro economics, and portfolio management through 23 tools and a resource.
      27 PyPI
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform quantitative research and backtesting for China A-shares and futures, including data fetching, backtesting, factor analysis, and experiment tracking through MCP tools.
      1
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      Provides 46 financial data tools for AI assistants covering A-share, HK, US markets, macroeconomics, funds, and derivatives, powered by AKShare.
      54
      20 PyPI
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Provides access to Chinese mainland financial data including A-stock quotes, financial statements, industry analysis, and macroeconomics through 42 MCP tools, with automatic data source fallback and no API key required.
      43
      Apache 2.0
    • A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to access comprehensive Chinese financial market data including stocks, funds, futures, and economic indicators via AKShare.
      5
      5
      MIT

    TDQS

    C2.8/5.0

    Scored across 181 tools

    Disambiguation2/5

    With 181 tools spanning overlapping domains, many tools are near-duplicates: macro_growth/macro_gdp/macro_industrial_value_add, industry_quotes/industry_daily_query, draw_ascii_chart/draw_crypto_chart. Existing descriptions help somewhat, but groups like the cycle data tools and the various market/macro snapshots create real boundary confusion. Agents are likely to misselect between these overlapping clusters.

    Naming Consistency3/5

    Most tools use snake_case with recognizable domain prefixes (fund_, stock_, macro_, policy_, crypto_), which aids readability. However, verb placement is inconsistent—get_current_time, fund_nav, memory_save, and backtest_strategy all follow different orders. The naming is readable and mostly predictable, but not uniform.

    Tool Count1/5

    181 tools is an extreme count for a single MCP server, far exceeding the typical 3-15 well-scoped range and even the 25+ 'too many' threshold. The surface is bloated with overlapping, single-purpose, and rarely-needed tools. This overwhelms agents and makes tool selection far more expensive than necessary.

    Completeness4/5

    The server covers most financial analysis domains well: stocks, funds, macro, crypto, futures, commodities, cycles, policy, calendar, reports, memory, and portfolio. Minor gaps exist (e.g., no portfolio update/remove, no direct order execution), but these are non-critical for its analytic purpose. Overall, the surface is comprehensive with few dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues