# sentinel

> sentinel — rohith1125-sentinel-execution-mcp. Use this tool when you need to manage algorithmic trading workflows through natural language commands, enabling efficient watchlist maintenance, market regime classification, and risk rule validation. It solves problems related to trade automation and risk management by providing a user-friendly interface for submitting paper orders. The tool accepts natural language inputs and outputs validated trades, making it ideal for streamlining trading workflows.

Canonical page: https://skillsregistry.net/skills/rohith1125-sentinel-execution-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rohith1125-sentinel-execution-mcp

## Description

Enables Claude to manage algorithmic trading workflows via natural language — maintaining watchlists, classifying market regimes, validating trades against risk rules, and submitting paper orders through a gateway to a FastAPI engine.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **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/s31uh452hn)
- **Repository:** <https://github.com/rohith1125/sentinel-execution-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": "rohith1125-sentinel-execution-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rohith1125-sentinel-execution-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rohith1125-sentinel-execution-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