context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.; 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.
Deep repository research and analysis (e.g., architecture, contributors, issues)
Browse and search PFC documentation