# StratVerity MCP Server

> StratVerity MCP Server — mathieusarrue-alt-stratverity-mcp-server. Use this tool when you need to verify the integrity of algorithmic trading backtests, detect potential biases, and ensure the reliability of trading strategies. It solves problems related to look-ahead bias, overfitting, and audit proof verification, providing a secure and trustworthy interface for coding agents. By using the StratVerity MCP Server, you can validate trading strategies and receive verified audit proofs as output, giving you confidence in your trading decisions.

Canonical page: https://skillsregistry.net/skills/mathieusarrue-alt-stratverity-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mathieusarrue-alt-stratverity-mcp-server

## Description

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.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k62pz5iwuc)
- **Repository:** <https://github.com/mathieusarrue-alt/stratverity-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mathieusarrue-alt-stratverity-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mathieusarrue-alt-stratverity-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mathieusarrue-alt-stratverity-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt