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Glama

Related Servers

Alternatives to Stoxly

  • A
    license
    A
    quality
    A
    maintenance
    MCP server that exposes Yahoo Finance data through tools for searching instruments, fetching quotes, history, company info, financials, dividends, news, recommendations, and options. Enables AI assistants to answer market-data questions using natural language.
    24
    376 PyPI
    1
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables free financial data analysis from SEC EDGAR filings, including company fundamentals, DCF valuation, comparable companies, industry benchmarks, and stock screening, with no API key required.
    33 npm
    1
    Apache 2.0
  • F
    license
    Not graded
    quality
    C
    maintenance
    Provides financial stock analysis for U.S. public companies via SEC EDGAR APIs, offering tools to resolve companies, retrieve filings, calculate profitability metrics, compare periods, detect red flags, and get audit evidence, all without API keys.
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides TradingView-style market analysis with OHLCV candles, 19 technical indicators, a screener, and a backtester using public Yahoo Finance data without API keys.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering equities, ETFs, crypto, forex, commodities, and economics. It supports dynamic toolset loading and can be hosted or self-hosted over HTTP/SSE.
    601 npm
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides AI assistants with 250+ tools to access and analyze financial data, including stocks, ETFs, crypto, forex, commodities, economics, and company fundamentals.
    601 npm
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Agent-ready financial intelligence tools for AI agents. Two curated tools — get_stock_snapshot and get_company_metrics — that combine multiple data sources, derive signals (UNDERVALUED, STRONG, ACCELERATING), and pre-compute the math. One call, one agent-friendly response.
    3
    209 npm
    1
    MIT

TDQS

A4.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools target mutually exclusive asset types (single stock vs US-listed ETF), and each description explicitly names its own checklist, so there is no realistic chance of misselection. Their inputs, outputs, and caveats (null metrics, US-listing requirement) are clearly scoped to one instrument class each.

Naming Consistency5/5

Both names follow the identical verb_noun snake_case pattern (analyze_stock, analyze_etf), with the noun mapping cleanly onto the asset class being analyzed. Fully predictable and extensible.

Tool Count3/5

Two tools is thin for a server framed around stock/ETF research, even if the scope is deliberately narrow and each tool is substantial. It is borderline rather than wrong, but leaves no room for lookups, comparisons, or screener-style operations.

Completeness3/5

Coverage of the two core analysis operations is solid and symmetric, and each returns a pointer to a fuller page. However, there is no discovery or lookup surface (e.g. resolving a ticker/company name, searching or listing available instruments) and no comparison or batch analysis, so an agent that does not already know a valid symbol hits a dead end.

Maintenance

ActivitySlowing
ResponsivenessNo issues