Plugged.in Platform Tools

Complete catalog of available MCP tools organized by category.

Memory (5 tools)

Tool	Purpose
pluggedin_memory_session_start	Start a memory session for the current conversation
pluggedin_memory_session_end	End session and trigger Z-report generation
pluggedin_memory_observe	Record an observation (error, preference, decision, etc.)
pluggedin_memory_search	Semantic search across memories (Layer 1 - summaries)
pluggedin_memory_details	Get full content for specific memories (Layer 3)

Knowledge Base (1 tool)

Tool	Purpose
pluggedin_ask_knowledge_base	RAG query against uploaded documents

Clipboard (6 tools)

Tool	Purpose
pluggedin_clipboard_set	Set entry by name or index
pluggedin_clipboard_get	Get entries (by name, index, or list all)
pluggedin_clipboard_delete	Delete entries or clear all
pluggedin_clipboard_list	List all entries with metadata
pluggedin_clipboard_push	Push to stack (auto-increment index)
pluggedin_clipboard_pop	Pop from stack (LIFO)

Documents (5 tools)

Tool	Purpose
pluggedin_create_document	Create and save AI-generated documents
pluggedin_list_documents	List documents with filtering
pluggedin_search_documents	Search documents semantically
pluggedin_get_document	Retrieve a specific document
pluggedin_update_document	Update or append to a document

Notifications (4 tools)

Tool	Purpose
pluggedin_send_notification	Send custom notifications with optional email
pluggedin_list_notifications	List notifications with filters
pluggedin_mark_notification_done	Mark notification as done
pluggedin_delete_notification	Delete a notification

Discovery (1 tool)

Tool	Purpose
pluggedin_discover_tools	Discover tools from configured MCP servers

Best Practices

• Memory: Start sessions early, observe often, end properly
• Search before ask: Check knowledge base and memory before asking the user
• Clipboard for pipelines: Use push/pop for ordered data, named entries for semantic access
• Progressive disclosure: Search first (cheap), details only when needed (expensive)