Provides a unified context layer for AI agents, enabling ranked search, file management, context bundles, database queries, and connected source access through MCP, all scoped to organizational permissions with citations.
Provides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.
Enables MCP-capable agents to retrieve live, task-scoped context from a curated ontology, providing relevant direction, decisions, and constraints for a given task.
Local MCP server for persistent, searchable agent memory using SQLite FTS5, replacing flat MEMORY.md files with efficient full-text search and workspace context caching.
Enables interaction with Agent Build Context Manager workspaces through MCP, providing safe file operations, scoped discovery, and an authenticated REST file API for managing project context.
