# alphaassay/mcp

> alphaassay/mcp — alphaassay-mcp. Use this tool when you need to evaluate the validity of trading signals by detecting noise and preventing overfitting. It solves problems of false positives and data leakage by applying rigorous methodology audits, including deflated Sharpe ratios and out-of-sample testing. The tool takes trading signals as input and returns a pass/fail verdict, providing a reliable interface for verifying signal effectiveness.

Canonical page: https://skillsregistry.net/skills/alphaassay-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alphaassay-mcp

## Description

Most trading signals are noise. AlphaAssay puts them on trial — deflated Sharpe, out-of-sample, leakage forensics — and returns signed pass/fail verdicts anyone can verify. Methodology audits, not investment advice.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hsjl6o08bf)
- **Repository:** <https://github.com/alphaassay/mcp>

## 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": "alphaassay-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaassay-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaassay-mcp/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