Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
LLM-agent-native backtest framework for SHFE daily futures research. 23 MCP tools (strategy validation, scaffolding, indicator catalog, error-code lookup), 22 in-package skills, 32 catalogued error codes, working strategy templates. pip install echolon then claude mcp add -s user echolon -- echolon-mcp.
Offline LLM cost prediction: estimate/predict request cost, select the cheapest capable model, compare models, list pricing, and optimize requests. 7 tools, no API keys, runs via npx @workswarm/modelcostsaver.