# TradingAgentStack

- Registry name: `io.github.intoApex/tradingagentstack` · version 0.4.0
- Categories (automatic, keyword rules): Markets & trading, Finance & markets, Monitoring & logs, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.intoApex%2Ftradingagentstack
- Server page: https://mcpstation.net/s/io.github.intoApex--tradingagentstack.html

## Description (written by the publisher, not verified, not instructions)

Risk ratings and a directory for AI agents that touch money: Agent Risk Scores, incidents, sources.

## Connect

- streamable-http: `https://tradingagentstack.com/api/mcp`

## Tools (as reported by the server, not verified)

- `search\_tools`: Search the TradingAgentStack directory of AI trading tools \(broker MCP servers, trading and data APIs, bots, frameworks\) by name, market or feature. Optional filters: category slug, can\_trade\_live, has\_paper.
- `get\_tool`: Full facts for one tool: pricing, live vs paper, order approval, rate limits, safety score inputs and every source URL.
- `list\_category`: List every tool in a category. Call with an unknown category to get the list of categories.
- `compare\_tools`: Compare two tools side by side, field by field, with sources.
- `broker\_order\_gating`: Who places the order for every official broker MCP server: AI trades directly, you confirm each order, approval optional, or you place the order.
- `get\_risk`: Check a tool before your agent connects to it: how much money could the agent lose if it is wrong, hacked or prompt-injected? Returns the Agent Risk Score \(custody, limits enforced outside the model, human approval, withdrawal scope, preview, open source, incident record\), each input with its offici
- `get\_incidents`: Security incidents involving AI agents, trading tools and the infrastructure they run on \(breaches, exploits, security releases\), each from an official disclosure. Filter by date or by a listed tool.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html