# btse-mcp

> Use this tool when you need to manage futures trading with natural language commands, allowing AI agents to query market data, execute trades, and adjust positions seamlessly. It solves problems related to automated trading, position management, and market data analysis, providing a user-friendly interface for live and testnet accounts. The btse-mcp tool accepts natural language inputs and outputs market data, trade execution results, and account balances.

Canonical page: https://skillsregistry.net/skills/xbotlive-btse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xbotlive-btse-mcp

## Description

An MCP server for the BTSE Futures API that allows AI agents to query market data, manage positions, and execute trades using natural language. It supports both live and testnet accounts with features for order management, leverage adjustment, and wallet balance tracking.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ja6bphbr6n)
- **Repository:** <https://github.com/xbotlive/btse-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": "xbotlive-btse-mcp"
    }
  }
}
```

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