# IB_MCP

> IB_MCP — rcontesti-ib-mcp. Use this tool when you need to interact with Interactive Brokers' trading platform programmatically, solving problems such as automated trading and portfolio management. It provides an interface to send and receive data using the Model Context Protocol (MCP), accepting inputs like trading requests and market data queries, and outputting responses like trade confirmations and market updates. Ideal for use cases requiring automated trading, data analysis, and integration with other systems.

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

## Description

This project provides an Interactive Brokers (IB) API interface using the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rcontesti/IB_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": "rcontesti-ib-mcp"
    }
  }
}
```

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

---
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