# trading212-mcp-guardrails

> trading212-mcp-guardrails — sandeepanmukherjee-trading212-mcp-guardrails. Use this tool when you need to safely interact with the Trading 212 API through natural language, enabling live and paper trading with built-in safety features. It solves problems of accidental duplicate orders, service overload, and excessive position sizes by implementing idempotency, circuit breakers, and position limits. This tool accepts natural language inputs and outputs trading actions, ideal for use cases requiring protected and reliable trading API interactions.

Canonical page: https://skillsregistry.net/skills/sandeepanmukherjee-trading212-mcp-guardrails  
JSON: https://api.skillsregistry.net/v1/skills/sandeepanmukherjee-trading212-mcp-guardrails

## Description

An MCP server that exposes the Trading 212 API with a hard-enforced safety layer—including idempotency ledger, circuit breaker, and position limits—to enable safe live and paper trading through natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tszc1udu0e)
- **Repository:** <https://github.com/sandeepanmukherjee/trading212-mcp-guardrails>

## 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": "sandeepanmukherjee-trading212-mcp-guardrails"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandeepanmukherjee-trading212-mcp-guardrails` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandeepanmukherjee-trading212-mcp-guardrails/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