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Tracks pytest failures and resolves errors faster using systematic debugging principles and integrates with Large Language Models.
Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.
Enables Claude to query rounds, findings, prerequisites, and notifications from the OnSecurity API.
Manages Databricks permissions, credentials, and Git credentials via the MCP protocol, enabling LLM-powered tools to interact with Databricks.
Enables secure interaction with MySQL databases for AI assistants through a controlled interface.
Enables AI-powered applications to interact with and analyze browser data through a Chrome extension.
Validates GitHub operation execution through a server integration.
Enables AI assistants to perform DNS reconnaissance through natural language requests using the DNSDumpster API.
Encodes and decodes secret messages using advanced Unicode steganography techniques.
Enables AI-powered applications to interact with and analyze browser data via a Chrome extension.
Provides a secure Model Context Protocol server for evaluating mathematical expressions with robust grammar validation and comprehensive safety features.
Provides a lightweight conversational AI system integrated with robust DevSecOps practices, ensuring secure and misconfiguration-free container deployments through automated CI/CD security scanning.
Integrates with LoadRunner Cloud APIs to enable programmatic access for performance engineering workflows.
Provides comprehensive tools for integrating with the BugBug test automation platform via a Model Context Protocol (MCP) server.
Enables seamless integration between AI agents and the Windows operating system, allowing large language models to perform tasks such as file navigation, application control, and UI interaction.
Enables AI applications to interact with CucumberStudio by providing contextual data and facilitating resource modification.
Evaluates GitHub feature integration with the Aegis Framework using the Model Context Protocol (MCP) server.
Provides comprehensive, AI-powered security analysis for software packages across diverse ecosystems.
Enables agents to test language model prompts with different providers and configurations.
Provides a secure and robust Model Context Protocol server for managing file system operations with built-in safeguards and comprehensive error handling.
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