code-context-engine vs pfc-mcp
code-context-engine: Code Context Engine (CCE) indexes your codebase using tree-sitter parsing and vector embeddings, allowing AI coding agents to search for relevant code instead of re-reading entire files. It saves up to 94% input tokens, works across multiple editors (Claude Code, VS Code, Cursor, Gemini CLI, Codex CLI), and runs entirely locally for privacy. With built-in compression, graph expansion, and cross-session memory, CCE reduces costs and speeds up responses.; pfc-mcp: pfc-mcp connects AI agents to ITASCA PFC through the Model Context Protocol. It provides tools for browsing PFC documentation and executing simulations via natural conversation. The project supports multiple PFC versions and works with various MCP clients.
TL;DR
Reduce Claude Code costs by cutting input tokens
Browse and search PFC documentation
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