code execution

A Spring Boot application exposing OWASP ZAP as an MCP (Model Context Protocol) server. It lets any MCP‑compatible AI agent (e.g., Claude Desktop, Cursor) orchestrate ZAP actions—spider, active scan, import OpenAPI specs, and generate reports.

Enables LLMs to execute Python code securely in isolated Docker containers with real-time communication via SSE.

Facilitates the execution of Mathematica code and verification of mathematical derivations through MCP client integration.

Facilitates secure execution of Python, Go, and JavaScript code snippets within isolated Docker containers, accessible via MCP.

Facilitates LLM-driven control of a Mac desktop via Bash and AppleScript commands.

K-MCP connects AI assistants to a Kali Linux terminal for AI-driven penetration testing and security research.

A secure Docker-based environment for executing code through MCP, enabling AI assistants to run code safely within isolated containers.

Facilitates the execution of RRR scripts through a configurable MCP server interface.

Facilitates direct SQL query execution on PostgreSQL databases with parameterized queries and configurable timeouts.

Enhances security data by enriching observables like IP addresses and domain names using third-party services.

Facilitates AI-driven execution of any Open Source tool via pkgx, with a focus on security and sandboxing.

A TypeScript-based MCP server offering a comprehensive suite of mathematical functions for seamless integration with language models.

Guides QA and verification processes by breaking down tasks into steps and recommending MCP tools with confidence scores and rationale.

Facilitates read-only SQL query access to AWS PostgreSQL databases using the Model Context Protocol.

Securely execute MATLAB functions and scripts with user-approved security prompts.

Enhance security data by enriching observables using third-party services like VirusTotal and Hybrid Analysis.

A streamlined LLDB MCP server with minimal dependencies, designed for efficient command execution and output capture.

Facilitates remote execution of Windows CMD commands via the MCP protocol, ensuring secure and configurable command execution.

Facilitates AI model interactions with SQLite databases through a Model Context Protocol server, offering query execution, schema discovery, and feedback collection.

Facilitates extreme p-value calculations through an API interface using R scripts, integrated with Python via FastMCP.