# OpenMM MCP

> OpenMM MCP — qbtlabs-openmm-mcp. Use this tool when you need to integrate AI agents with market data, trading, and strategy tools, or when automating trading decisions using machine learning models. OpenMM MCP exposes core functionality for accessing market data, account information, and executing trades via various MCP client interfaces. It solves problems related to automated trading, strategy optimization, and real-time market analysis, accepting inputs from AI agents and outputting relevant market and account data.

Canonical page: https://skillsregistry.net/skills/qbtlabs-openmm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qbtlabs-openmm-mcp

## Description

MCP server for OpenMM — exposes market data, account, trading, and strategy tools to AI agents via Claude Desktop, Claude Code, Cursor, Windsurf, and other MCP clients.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-15

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/qbtlabs/openmm-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": "qbtlabs-openmm-mcp"
    }
  }
}
```

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