Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
Provides secure, read-only access to ContextCore project context (vision, audience, scope, tech decisions, etc.) for MCP-aware agents like Cursor and Claude Code, with server-side access enforcement.
A Model Context Protocol server that provides secure and intelligent interaction with files and filesystems, offering smart context management and token-efficient operations for working with large files and complex directory structures.
Enables LLMs to securely read, search, and analyze local file systems through the Model Context Protocol. Provides tools for listing files, pattern-based searching, and reading file contents with built-in security validation.
Efficiently delivers project documentation to AI agents like Claude on-demand, optimizing token usage by loading context only when needed. Supports document retrieval, listing, and keyword search with security features.