Skip to main content
Glama
Claudefarid

bd-finance-mcp

by Claudefarid
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to bd-finance-mcp

No user-submitted related servers found.

    Related Servers

    • dse-stock-mcp

      Claudefarid
      A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to retrieve live Dhaka Stock Exchange data, including prices for all listed shares, top gainers/losers, and market summary, through natural language queries.
      4
      1
      MIT

    • Financial Modeling Prep MCP

      vijitdaroch
      A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI assistants with access to comprehensive financial data including real-time stock quotes, company fundamentals, financial statements, market analysis, SEC filings, and economic indicators through 253+ tools across 24 categories.
      279 npm
      Apache 2.0
    • InvestSights Indian Stock Research MCP by InvestSights

      InvestSights Indian Stockofficial

      InvestSights
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.
      8 npm
      1
      MIT

    • nse-mcp

      jugaad-py
      F
      license
      C
      quality
      B
      maintenance
      Enables AI assistants to access National Stock Exchange of India (NSE) data, including live quotes, market status, indices, option chains, corporate actions, and historical data, through natural language.
      8
      24
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 11 tools

    Disambiguation4/5

    Each tool targets a distinct slice of the market: movers, breadth, quotes, sectors, news, FX, and cross-exchange comparison. The only mild ambiguity is between get_stock and compare_exchanges, but the descriptions explicitly point from one to the other.

    Naming Consistency3/5

    Names are all snake_case, but the set mixes verb-led actions (search_stock, list_sectors, get_stock, compare_exchanges) with noun-only snapshots (top_movers, market_summary, exchange_rate, company_profile, finance_news, sector_performance). There is no single predictable pattern, though each name is still readable.

    Tool Count5/5

    11 tools is well within the ideal range, and each tool covers a meaningful part of the domain: quotes, movers, sectors, fundamentals, news, FX, and exchange comparison. No obvious redundancy that would justify trimming.

    Completeness4/5

    The server covers the main read-only market data needs: current prices, movers, breadth, sector aggregates, company fundamentals, news, FX, and dual-exchange quotes. Missing historical price/performance and index-level data are notable but workable gaps for an agent doing day-of analysis.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources