# Litmus

> Use this tool when you need to evaluate and refine trading strategies, as Litmus provides a comprehensive backtesting and risk-checking environment to determine their effectiveness and identify potential overfitting issues. It takes in trading strategies as input and outputs performance metrics and risk assessments, helping AI agents to optimize their decision-making. Ideal for use in algorithmic trading and portfolio management contexts.

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

## Description

An MCP server that lets an AI agent backtest, risk-check, and audit trading strategies, determining if a strategy is overfit or actually works.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/mshhr0y4f1)
- **Repository:** <https://github.com/Spectrexf/litmus-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": "spectrexf-litmus-mcp"
    }
  }
}
```

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