# panther-mcp

> Use this tool when you need to evaluate and refine trading strategies using natural language inputs, as it solves the problem of backtesting and analyzing market performance by providing access to historical market data and technical indicators, and outputs comprehensive performance reports to inform investment decisions. It takes plain English strategy descriptions as input and generates detailed reports as output. Ideal for use in financial analysis and investment planning contexts.

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

## Description

Enables AI assistants to backtest trading strategies described in plain English, providing access to market data, technical indicators, and comprehensive performance reports.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w1756jm8wp)
- **Repository:** <https://github.com/PantherWatch/panther-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": "pantherwatch-panther-mcp"
    }
  }
}
```

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