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FriesTrader MCP Server

YizhiSong/FriesTrader

Score: 65.1 Rank #5044 MCP Server
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Robinhood Agentic Trading agent — a fully automated AI trading bot placing real orders through Robinhood's Agentic Trading MCP, under mechanical, auditable risk rules the model cannot override. Able to run unattended on Claude Pro, no metered API spend. Not financial advice.

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Overview

YizhiSong/FriesTrader is a Python tool licensed under MIT. Robinhood Agentic Trading agent — a fully automated AI trading bot placing real orders through Robinhood's Agentic Trading MCP, under mechanical, auditable risk rules the model cannot override. Able to run unattended on Claude Pro, no metered API spend. Not financial advice. Topics: agentic-ai, algorithmic-trading, automation, claude, llm-agents, mcp, risk-management, trading-bot, claude-code, robinhood.

Ranked #5044 out of 24846 indexed tools.

Ecosystem

Python MIT
agentic-aialgorithmic-tradingautomationclaudellm-agentsmcprisk-managementtrading-botclaude-coderobinhood

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 218

218 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 73
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 37 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for YizhiSong/FriesTrader
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Matched Queries

topic:mcp

From the README

# FriesTrader

An AI trading agent built to run cheap and fully on its own, trading real
orders on [Robinhood](https://robinhood.com) using its
[Agentic Trading MCP server](https://robinhood.com/us/en/agentic-trading/).
Once set up, it's able to run unattended on its own schedule every
weekday, no manual triggering needed, and the actual safety mechanism is
mechanical, auditable risk rules, not the model's judgment. Two short
scheduled Claude Code sessions a day screen stocks, write out their
reasoning, and (only under a narrow, explicit gate) place real trades,
without a team of specialized sub-agents burning tokens on every
decision. Because it's just two lean sessions instead of a multi-agent
pipeline, it runs comfortably on a Claude Pro subscription (as low as
$200/year on the annual plan), no Claude Max or metered API spend
required.

This is a template/framework extracted from a real, live deployment.
Adapt it, don't just run it blind — read "What this does and doesn't
solve" bel
Read full README on GitHub →

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