An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.
Enables local-first book writing with AI assistance, allowing users to scaffold, create, search, validate, and enrich a book repository through natural language using OpenCode or Claude.
Enables coding agents to incrementally index project text and code, persist decisions and constraints with clear sources, and assemble focused project context across sessions via MCP.
Enables AI agents to programmatically create and manage LetsGal Studio visual novel projects via a story DSL, supporting project initialization, story compilation, dialogue/narration addition, validation, and asset registration through MCP tools.
Enables agentic coding tools to maintain a living, in-repo model of intent, architecture, and code, with deterministic indexing, bidirectional linking, and continuous drift detection for task-scoped context and reconciliation.
Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.