Skip to main content
Glama
blurryface1

tradingagents-mcp

by blurryface1
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to tradingagents-mcp

No user-submitted related servers found.

    Related Servers

    • FinClaw

      IlyasFardaouix
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP server that provides AI agents with financial tools including real-time quotes, backtesting, technical analysis, and multi-exchange data via a simple CLI interface.
      1
      MIT

    • financial-research-agent

      rahul-jajala
      F
      license
      Not graded
      quality
      D
      maintenance
      MCP server that exposes stock research tools (fundamentals, news, technicals, analyst ratings) to AI clients, enabling autonomous generation of structured investment briefs.
      -

    • TradeMCP

      Aaditya2502
      A
      license
      A
      quality
      D
      maintenance
      An MCP server that exposes trading analytics — technical indicators, portfolio state, risk metrics, and backtest results — as tools an LLM agent can call.
      5
      MIT

    • quant-research-mcp

      FlawlessByte
      A
      license
      A
      quality
      C
      maintenance
      An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.
      13
      20 PyPI
      MIT

    • pyon-mcp

      K4L-EL
      A
      license
      A
      quality
      C
      maintenance
      MCP server for the Pyon trading platform that lets AI agents search markets, generate research, build and edit node-graph strategies, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.
      13
      5 npm
      4
      MIT
    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

    A4.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a distinct role in the analysis lifecycle: capabilities introspection, starting, checking status, retrieving results, listing, canceling, and deleting. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_capabilities, start_analysis, get_analysis_status, etc.). The naming clearly reflects the action and resource, making the API predictable.

    Tool Count5/5

    Seven tools is a well-scoped set for a task-management server. Each tool is necessary for the full lifecycle and no redundant tools exist.

    Completeness5/5

    The tool surface covers the complete analysis workflow: initiation, progress tracking, result retrieval, listing, cancellation, and deletion. Includes capabilities discovery and proper cleanup handling, with no obvious missing operations.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources