CrewAI vs TradingAgents

CrewAI

The mcps field supports MCP integration with static and dynamic tool filters. Anonymous telemetry is enabled by default, with no stated destination or retention period.

TradingAgents

An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.

CrewAI

1. Set CREWAI_DISABLE_TELEMETRY=true before the first run
2. Put MCP keys in headers, not in the URL as the docs' Exa example does
3. Pin a stable version. Development builds share the crewai name on PyPI
4. Add a PRE_TOOL_CALL hook for any tool that writes or sends
5. Check the logs for MCP connection warnings. A failed server doesn't stop the agent

TradingAgents

1. Run headless with tradingagents --ticker <T> --date <YYYY-MM-DD> --analysts market,news,fundamentals --save --no-show; a missing answer stops the run and names the flag
2. Guard on the REVIEW signal before mapping propagate()'s decision to a rating; it means no rating could be parsed
3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals
4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import
5. Treat the rating as model output for research; the framework places no orders and its results vary between runs