How do I install Deptho?

Deptho is a local plugin. Install it using PyPI package: deptho-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Deptho safe to use?

Yes. Deptho passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Deptho?

Deptho uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Deptho MCP Server

by Jjinaustin

Developer ToolsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

Replay a crypto backtest's orders against trades and write tearsheets, locally.

About

Replay a crypto backtest's orders against trades and write tearsheets, locally.

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

5 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-deptho-deptho-mcp": {
      "args": [
        "deptho-mcp"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

deptho-mcp

An MCP server that gives coding assistants (Claude Code, Claude Desktop, Cursor and others) Deptho's backtest checks: replay a backtest's market orders against the trades that followed them, and write a tearsheet that splits returns into fees, funding and slippage. It runs on your machine over stdio, reads and writes local files, and sends nothing anywhere.

Tools

tool	does
`replay_orders`	orders CSV + trades file → fills CSV and a slippage summary (mean, median, p90, p99 bps)
`tearsheet`	bars CSV (`time`, `price`, `position`) → self-contained HTML report, its path and headline numbers
`pro_status`	whether Deptho Pro is installed and licensed here
`pro_sync`	Deptho Pro: download Binance USD-M days from the public archive into a local memory-mapped dataset
`pro_replay`	Deptho Pro: replay an orders CSV against that dataset

Orders CSV: time (ISO 8601 or epoch), side (+1/-1 or buy/sell), qty (base units, e.g. BTC). Trades file: a Binance archive aggTrades file (.zip or .csv) or a Tardis.dev trades file (.csv or .csv.gz) covering the orders' period.

Fills are modeled from trade prints: each order fills at the VWAP of the same-side trades after it until its size is covered. Order book depth and queue position are not modeled.

Install

pip install deptho-mcp

Use a virtual environment if you like; then point your assistant at that environment's deptho-mcp (which deptho-mcp prints the full path). For the Pro tools, install Deptho Pro into the same environment with your license key.

Claude Code

claude mcp add deptho -- deptho-mcp

Claude Desktop

Settings → Developer → Edit Config, then add to claude_desktop_config.json:

{
  "mcpServers": {
    "deptho": { "command": "/full/path/to/deptho-mcp" }
  }
}

Cursor

Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

{
  "mcpServers": {
    "deptho": { "command": "/full/path/to/deptho-mcp" }
  }
}

Then ask, for example: "Replay orders.csv against BTCUSDT-aggTrades-2026-09-30.zip and tell me the p90 slippage."

Privacy

Every tool works on local files. Nothing is sent to Deptho. The only download is pro_sync, which fetches Binance's public archive (data.binance.vision) when you ask it to.

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4.8

Local

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