Enables processing of Excel, Word, and PDF documents through reading, writing, and metadata extraction. It leverages a secure Pyodide WebAssembly environment to handle document parsing with support for paginated results.
Exposes common CTF and cybersecurity tools (crypto, forensics, malware analysis, steganography, reverse engineering, pwn, OSINT) so LLMs can help solve capture-the-flag challenges in a controlled lab environment.
Provides secure execution of arbitrary JavaScript code within a sandboxed QuickJS WASM environment, allowing language models or other MCP clients to safely run JavaScript code snippets without compromising the host system.
Provides secure filesystem operations, HTTP fetching with SSRF protection, JSON validation, artifact logging, and optional Redis key-value storage through both stdio and HTTP transports. Features production-ready security controls including sandbox enforcement, allowlist validation, and comprehensive input validation.
Privacy-first file tools for AI agents, enabling operations like PDF merge/split, image compression/convert, metadata stripping, and background removal without storing files.
Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.
