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by invest-composer · MCP Server · ★ 220

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About composer-trade-mcp

Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you

ai-tradingautomated-trading-strategiesbacktestingclaude-desktopfintechmcpmcp-servertradingtrading-algorithmstrading-strategies

Quick Facts

Stars220
Forks48
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score60.3489653153657/100
Open Issues6
Last Updated2026-02-09
Created2025-06-21
Platformsclaude-code, mcp, python
Est. Tokens~58k

composer-trade-mcp alternative? Top 6 similar tools

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Frequently Asked Questions

What is composer-trade-mcp?

composer-trade-mcp is Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you. It is categorized as a MCP Server with 220 GitHub stars.

What programming language is composer-trade-mcp written in?

composer-trade-mcp is primarily written in Python. It covers topics such as ai-trading, automated-trading-strategies, backtesting.

How do I install or use composer-trade-mcp?

You can find installation instructions and usage details in the composer-trade-mcp GitHub repository at github.com/invest-composer/composer-trade-mcp. The project has 220 stars and 48 forks, indicating an active community.

What license does composer-trade-mcp use?

composer-trade-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to composer-trade-mcp?

The top alternatives to composer-trade-mcp on Agent Skills Hub include alpaca-mcp-server, maverick-mcp, mcp-trader. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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