Skip to main content
Glama
Etha0916

praesentire-mcp

Related Servers

Alternatives to praesentire-mcp

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      MCP server that exposes local agents as tools for Claude Code, enabling capabilities in quant, trading, news, reports, robotics, Notion, and FreeCAD.
      32 npm
      1
      -
    • A
      license
      A
      quality
      B
      maintenance
      Model Context Protocol (MCP) server for StoQuant that gives Claude and any MCP-compatible agent direct, read-only access to StoQuant's quant signals, ML predictions, screening, ownership, and macro data.
      49
      9 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Institutional Financial Intelligence MCP Server for Claude Desktop & AI Agents. Sub-second market data, technical indicators, SEC EDGAR 10-K parsing, and local SQLite backtesting.
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that exposes Finviz stock screening, fundamentals, news, and market data as tools for MCP clients like Claude Code and Claude Desktop.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Financial intelligence MCP server exposing real market data, SEC filings, FinBERT sentiment, technical analysis, and macro/global market data as MCP tools — free tier issued instantly, no card required.
      -

    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation4/5

    Tools are mostly distinct: compare_languages is unique (cross-language comparison), while get_sentiment and get_sentiment_batch overlap but descriptions clarify batch is a more efficient bulk call without full article details.

    Naming Consistency4/5

    Naming follows a consistent pattern: get_sentiment and get_sentiment_batch share the get_ prefix, compare_languages uses compare_ which is fitting. Minor deviation but overall predictable.

    Tool Count4/5

    Three tools is reasonable for a focused sentiment analysis server. Each tool has a distinct role (single, batch, compare) without being overly minimal.

    Completeness4/5

    Covers key operations: single sentiment, batch sentiment, and cross-language comparison. Could benefit from historical trends or time-series, but core functionality is present.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues