Skip to main content
Glama
heyhumayun

financial-research-mcp

by heyhumayun

Related Servers

Alternatives to financial-research-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to conduct cited equity research with independent committee views, reproducible backtests, and a locally stored, auditable track record through five MCP tools.
      2
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language, source-backed research across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news. It also provides deep research orchestration and live documentation access through MCP clients.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to operate a local financial terminal, including market data, backtesting, paper portfolio management, and news digest, through safe, gated tools over MCP.
      6
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      A multi-agent financial portfolio risk analyzer that provides MCP tools for fetching market news and storing compliance-reviewed assessment reports in a local database.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language financial research by querying SEC filings, earnings transcripts, company financials, stock and crypto market data, news, and prediction markets through source-backed tools. It also provides deep research, historical prediction-market data, and live documentation access for MCP clients.
      MIT
    • F
      license
      A
      quality
      B
      maintenance
      Provides multi-agent equity research for US markets with provenance-backed financial data from SEC EDGAR, technicals, macro, and Alpaca paper trading, enforcing risk limits and journaling theses.
      27
      -

    TDQS

    B3/5.0

    Scored across 10 tools

    Disambiguation3/5

    Most tools map cleanly to distinct resources or calculations, but the three search_documents variants overlap considerably and an agent may struggle to choose between plain, vector, and semantic search. Descriptions help somewhat, but the boundaries remain unclear.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern: get_*, search_*, and calculate_*. This makes tool selection predictable and reinforces the purpose of each tool.

    Tool Count4/5

    Ten tools is a reasonable size for a financial research server covering data retrieval, document search, and analytics. The three document search variants add mild redundancy but do not make the count excessive.

    Completeness4/5

    The tool surface covers core research workflows: retrieving market data and fundamentals, searching news/papers/local documents, and computing common return and risk statistics. Minor gaps exist, such as no explicit save/annotate workflow or more advanced analytics, but these are not critical for the apparent scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues