Indexes documentation sites by base URL and serves keyword search, optional semantic search, and Markdown page retrieval as MCP tools, all from a single SQLite file.
Self-hosted MCP server that indexes documentation from various sources and makes it searchable by AI assistants via the Model Context Protocol and REST API.
Toolset that crawls websites, generates Markdown documentation, and makes that documentation searchable via a Model Context Protocol (MCP) server for integration with tools like Cursor.
Provides unified search and navigation across multiple project documentations via the Model Context Protocol (MCP). Any MCP-compatible agent can discover and retrieve knowledge from all indexed projects.
Scrapes and indexes documentation websites to provide AI assistants with searchable access to documentation content, API references, and code examples through configurable URL crawling.