Skip to main content
Glama

Related Servers

Alternatives to xoomar-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Gives AI agents access to financial data including SEC EDGAR filings, market fundamentals, insider trades, and price history without API keys.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with clean, normalized access to financial data including company fundamentals, insider trades, SEC filings, macro series from FRED, real-time quotes, and ETF holdings.
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents and LLM apps to answer natural-language financial questions using live market data, including stocks, crypto, forex, futures, indices, ETFs, economic data, news, sentiment, SEC filings, earnings, financials, insider trading, ESG, credit ratings, and web traffic.
      132
      60 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to access stock prices, financial statements, earnings call transcripts, and fundamental data for 60,000+ public companies via 25 read-only tools.
      25
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to research US public company filings, financials, and insider transactions using SEC EDGAR data, with no API keys required. Provides tools for company lookup, recent filings, full-text search, financial facts, and insider activity.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.
      6
      MIT

    TDQS

    A3.5/5.0

    Scored across 22 tools

    Disambiguation4/5

    Most tools map to clearly distinct datasets (13F portfolios, short interest, short volume, fails-to-deliver, Form 4, Form 144, 13D/G, 8-K, COT, funding rates, etc.). A few pairs are adjacent and could be misselected, notably short_interest vs short_volume and fund_portfolio vs fund_holders, but the descriptions differentiate direction and data source.

    Naming Consistency5/5

    Every tool uses lowercase snake_case and a consistent topic/noun-phrase convention (fund_portfolio, short_interest, insider_trades, policy_rates). No mixing of camelCase, verbs, or stray styles.

    Tool Count4/5

    22 tools is on the heavy side but justified by the server's breadth of independent financial data sources, each covering a different dataset. No obvious filler tools, though the count is at the upper bound of comfortable.

    Completeness4/5

    The surface covers an unusually broad set of read-only datasets across equities, funds, macro, crypto and government data, and includes an api_reference escape hatch for uncovered queries. Minor gaps remain (e.g. options/equity derivatives, ETF holdings, deeper estimate history), but core domains are well covered.