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Provides secure, permission-controlled access to Firebase Firestore databases for AI assistants and MCP clients.
Executes predefined system commands with integrated safety checks and confirmation prompts.
Echoes selected environment variables from an MCP server process to verify client context propagation.
Enables programmatic control and interaction with Mozilla's rr debugger for replay sessions via an MCP server.
Generates Model Context Protocol (MCP) servers from OpenAPI or GraphQL specifications, simplifying integration with AI systems.
Establishes a transparent proxy between OAuth 2.1 clients and external MCP servers, handling dual authentication flows.
Provides secure and controlled access to SQLite databases through a standardized Model Context Protocol interface.
Validates MCP servers and their tokens.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Integrates professional security tools with AI language models to assist with penetration testing and security assessments.
Enables secure interaction with MySQL databases for AI assistants through a controlled interface.
Provides a secure and configurable gateway for AI assistants to interact with MySQL databases, enabling advanced data querying and manipulation.
Fetches the current Ethereum price in USD, explicitly designed as a security test for MCP platforms.
Provides sandboxed FFmpeg functionality through a RESTful API, enabling secure video and audio processing for AI assistants and other clients.
Validates Dify Workflow DSL YAML files for correctness and adherence to specifications.
Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.
Bridges the authentication gap for secure Model Context Protocol servers using Microsoft Entra ID with .NET.
Scans URLs using the urlscan.io API and serves the results via the Model Context Protocol (MCP).
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