Varrd

v1.0.5Finance & Fintechstable

From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the mar

ai-toolsalgorithmic-tradingbacktestingclaudecryptocurrency
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What is Varrd?

Varrd is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to from idea to edge. everyone has unique opinions and views of the world. varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge...

From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the mar

This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • From idea to edge. Everyone has unique opinions and views of

Use Cases

Discover algorithmic trading edges using backtesting and analysis.
Test cryptocurrency trading strategies without market knowledge.
Identify statistical advantages through AI-powered event analysis.
augiemazza

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.5
UpdatedMay 13, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx varrd

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Varrd

Varrd is an AI-powered algorithmic trading edge discovery platform accessible via MCP server, Python SDK, and CLI. It lets traders and analysts test hypotheses about market behavior — from RSI bounces to post-event momentum — through an evidence-backed backtesting engine without requiring coding or statistical expertise. The platform provides a curated library of validated edges for equities, futures, and cryptocurrency, and integrates directly with Claude Desktop, Cursor, and OpenBB via a hosted MCP endpoint at app.varrd.com/mcp.

Prerequisites

  • A free Varrd account at app.varrd.com (includes $2 in starting credits)
  • An MCP-compatible client such as Claude Desktop, Cursor, or OpenBB for MCP integration
  • Python 3.x if using the Python SDK
  • No API key required for MCP usage — authentication is handled via your Varrd account session
1

Create a Varrd account

Go to app.varrd.com and sign up for a free account. Your account comes with $2 in credits to start exploring edges. No credit card is required to begin.

2

Add the Varrd MCP server to your client

The Varrd MCP server is hosted and requires no local installation. Add the URL-based configuration to your claude_desktop_config.json or compatible client config file.

{
  "mcpServers": {
    "varrd": {
      "url": "https://app.varrd.com/mcp"
    }
  }
}
3

Restart your MCP client

Restart Claude Desktop (or your MCP client) to load the new server. You should see the Varrd tools become available: varrd_edges, varrd_ai, autonomous_varrd_ai, search, get_hypothesis, check_balance, buy_credits, get_briefed, and reset_session.

4

Browse the edge library

Use the varrd_edges tool to explore the curated library of backtested trading edges. You can filter by direction (LONG/SHORT), depth level, and edge ID.

5

Research a trading hypothesis

Use varrd_ai for multi-turn hypothesis research or autonomous_varrd_ai for fully automated edge discovery from a plain-language idea.

6

Install the Python SDK (optional)

For programmatic access from scripts or notebooks, install the varrd Python package.

pip install varrd
7

Use the Python SDK

Call the SDK to browse edges, run research, and get market briefings in Python scripts or Jupyter notebooks.

from varrd import VARRD

v = VARRD()
edges = v.edges(depth=1, direction="SHORT")
result = v.research("When RSI drops below 25 on ES, is there a bounce?")
briefing = v.briefing()

Varrd Examples

Client configuration

Varrd uses a hosted MCP server — add this to claude_desktop_config.json. No API key or local process is needed.

{
  "mcpServers": {
    "varrd": {
      "url": "https://app.varrd.com/mcp"
    }
  }
}

Prompts to try

After connecting the Varrd MCP server, try these prompts in Claude Desktop to discover and research trading edges.

- "Show me the top SHORT edges in the Varrd library with depth level 2"
- "Research this hypothesis: Does buying SPY after 3 consecutive down days produce positive returns over the next 5 days?"
- "Discover momentum edges for grain futures"
- "What is my current Varrd credit balance?"
- "Get my personalized market briefing based on my saved edges"

Troubleshooting Varrd

MCP server returns authentication or session error

Varrd MCP uses account-based authentication. Ensure you are logged into app.varrd.com in your browser. If the error persists, use the reset_session tool to restart your research session, or log out and back in at app.varrd.com.

Credits are exhausted and tools stop returning results

Use the check_balance tool to confirm your balance. Purchase additional credits using the buy_credits tool, which supports payment via Stripe or USDC on the Base blockchain.

Python SDK returns ImportError or ModuleNotFoundError

Ensure you are using Python 3.x and that the varrd package is installed in the active environment: `pip install varrd`. If using a virtual environment, activate it before running your script.

Frequently Asked Questions about Varrd

What is Varrd?

Varrd is a Model Context Protocol (MCP) server that from idea to edge. everyone has unique opinions and views of the world. varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. the issue with llms testing for edges in the mar It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Varrd?

Follow the installation instructions on the Varrd GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Varrd?

Varrd works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Varrd free to use?

Yes, Varrd is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Finance & Fintech MCP Servers

Explore all finance & fintech servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "varrd": { "command": "npx", "args": ["-y", "varrd"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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