Stryk91/PhiSHRI_MCP
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PhiSHRI MCP Server provides AI agents with instant context loading through a knowledge base of curated JSON files, known as 'doors', to ensure session continuity and reduce token waste.
Tools
Functions exposed to the LLM to take actions
phishri_read_door
Read a specific door by code (D05, W115, S01, etc.)
phishri_list_doors
List available doors, optionally filtered by category
phishri_find_door
Search for doors using natural language query
phishri_load_chain
Load multiple doors with prerequisite resolution
phishri_get_bootstrap
Get current session state
phishri_update_bootstrap
Update session progress and next steps
phishri_session_checkpoint
Create named checkpoint for easy resumption
phishri_search_semantic
Search by semantic path (TOOLS.DEPLOYMENT.SILENT)
phishri_get_prerequisites
Get prerequisite chain for a door
phishri_rebuild_indexes
Rebuild indexes from door files
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client