mcp vs pfc-mcp
mcp: This MCP server uses pre-computed code graphs to provide sub-second responses for symbol lookups, call-graph traversal, and cross-subsystem analysis. It integrates with AI agents via the Model Context Protocol, offering both default symbol context mode and experimental GraphRAG mode for deeper code exploration. The server supports caching for fast performance and works with popular MCP clients like Claude Code CLI and Cursor.; 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
AI agents understanding unfamiliar codebases instantly
Browse and search PFC documentation
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