Skip to main content
Glama
Sign In
Deptho MCP

Deptho MCP

by jjinaustin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Deptho MCP

No user-submitted related servers found.

    Related Servers

    • FinzData MCP server

      FinzData MCP serverofficial

      FinzData
      A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to query survivorship-free, point-in-time US market data — universes, OHLCV bars, as-filed fundamentals, macro vintages, COT and 13F holdings — and to run server-side backtests with reproducible run IDs and deflated Sharpe ratios. It connects as a remote Streamable HTTP endpoint or a local stdio process, authenticated via OAuth 2.1 with PKCE or an API key header.
      11
      MIT

    • StratVerity MCP Server

      mathieusarrue-alt
      A
      license
      B
      quality
      C
      maintenance
      Enables auditing and verification of algorithmic trading backtests from coding agents like Claude Code, Cursor, and Windsurf, including look-ahead bias detection, overfitting checks, and sealed audit proof verification.
      3
      MIT

    • KLinePic MCP Server

      sher1096
      A
      license
      A
      quality
      A
      maintenance
      Generate annotated post-trade candlestick review-chart PNGs from broker or exchange fills. Includes capability checks, no-charge preflight validation, and chart rendering; no signals or order execution.
      3
      20
      MIT

    • agent-trading-journal

      smizxe
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to log trades from chart screenshots, validate them against custom strategy rules, import statements from MT5/TradingView and other brokers, and review R-based statistics in a local dashboard.
      75 npm
      1
      MIT

    • backtester-mcp

      bcosm
      A
      license
      Not graded
      quality
      D
      maintenance
      Local-first backtesting engine with built-in overfitting detection (PBO, deflated Sharpe, bootstrap CI, walk-forward) and a native MCP server for AI agents to validate trading strategies.
      4
      Apache 2.0

    • io.github.NeoZorK/monte-neo

      NeoZorK
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and developers to independently verify trading-strategy backtests, detect look-ahead bias, hidden costs, and overfitting, and obtain verdicts with reproducible, optionally signed certificates.
      143 PyPI
      9
      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

    A3.8/5.0

    Scored across 5 tools

    Disambiguation3/5

    replay_orders and pro_replay have the same output and both replay an orders CSV, differing mainly by data source and Pro licensing. The distinction is explained, but an agent must reason about prerequisites to choose correctly. The remaining tools (tearsheet, pro_status, pro_sync) are clearly distinct.

    Naming Consistency4/5

    Most names use a readable verb_noun or prefixed form (replay_orders, pro_status, pro_sync, pro_replay), with a consistent pro_ prefix for licensed tools. The noun-only tearsheet is a minor deviation but remains clear as a domain term.

    Tool Count5/5

    Five tools is well-scoped for a backtest replay and reporting server. Each tool has a clear role: replay, reporting, and Pro dataset management.

    Completeness4/5

    The surface covers the core workflow: syncing trade data, replaying orders, and generating a tearsheet with headline metrics. Minor gaps exist around inspecting intermediate results or non-Pro dataset management, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources