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Provides a secure shell and code execution sandbox environment for AI agents.
Enables AI agents and chatbots to manage and automate comprehensive testing workflows on Perfecto's cloud-based platform.
Integrates AI assistants with MockServer, allowing programmatic management of HTTP expectations, request verification, and state control.
Verify the functionality and discover capabilities of Model Context Protocol (MCP) servers using a dedicated testing environment.
Enables regex-based searching of file content across various file types via the Model Context Protocol (MCP).
Offers an interactive web console for comprehensive testing and validation of Model Context Protocol (MCP) client implementations.
Enables AI assistants to perform Swift code audits and detect unused code in iOS/macOS projects.
Showcases a FastMCP server with both authenticated and unauthenticated endpoints, secured by Nginx, Envoy, and Open Policy Agent.
Provides session-aware Model Context Protocol (MCP) server integration for Ktor applications.
Provides a secure, standardized interface for AI agents and applications to interact with MySQL databases.
Enables LLM agents to safely execute arbitrary Python code in a secure, throw-away sandbox.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single, Keycloak-authenticated endpoint.
Integrates AI assistance with Ghidra for enhanced binary analysis through the Model Context Protocol.
Provides comprehensive browser automation capabilities for AI assistants using Playwright.
Logs contact events with authorities, providing rate limiting and persistent storage via Supabase.
Provides an open-source toolbox for building and driving an organization's resilience strategy.
Enables AI assistants like Claude Desktop to directly interact with source code files and project directories for enhanced development workflows.
Lints Python and JavaScript code by providing a REST API that returns a lint report in JSON format.
Provides a secure boilerplate for exposing AI-compatible APIs to various large language models and agents using the Model Context Protocol.
Performs high-performance static analysis to identify code smells, secrets, debug prints, and incomplete development tasks in codebases.
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