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Provides a reference implementation for a Zero Trust Agentic Access-based server.
Offers an interactive web console for comprehensive testing and validation of Model Context Protocol (MCP) client implementations.
Integrates Ghidra's powerful reverse engineering capabilities with GPT-5 AI technology through the Model Context Protocol (MCP) into a professional-grade Windows service for automated, intelligent binary analysis workflows.
Leverages AI to analyze wallet behavior, predict fraudulent activities, and detect potential rug pulls in Web3 environments.
Manages and analyzes Cisco ACI (Application Centric Infrastructure) fabrics, offering a powerful interface for network administrators and developers to interact with APIC controllers.
Creates secure code sandbox environments, executes code in Docker containers, and provides robust code execution capabilities for AI applications.
Automates web browsing, content extraction, and interactive operations through a Puppeteer-powered server.
Connects to SAP SuccessFactors to query and manage data, configurations, and security permissions via OData APIs.
Automates the generation and execution of end-to-end tests for web applications using AI assistants.
Provides LLMs with comprehensive yet safe access to local filesystem operations and system commands through a robust server.
Bridges Model Context Protocol tool calls to JSON-RPC functions over Unix sockets, providing secure, context-based scoping for multi-tenant server deployments.
Provides secure, policy-driven access to remote systems for SSH, SFTP, rsync, tunneling, VPNs, and RDP operations.
Provides Model Context Protocol (MCP) tools for High-Performance Computing (HPC), enabling seamless integration with large language models in popular IDEs.
Connects your LLM to advanced Semgrep static analysis for zero-overhead, memory-safe code security.
Connects to servers securely through an SSH Gateway to execute commands with robust access control and Kerberos authentication.
Provides real-time memory scanning and analysis for Windows processes, enabling AI agents to interact with system memory via MCP or an HTTP API.
Provides a comprehensive Model Context Protocol server for MySQL databases, enabling AI assistants and LLMs to perform advanced database management and diagnostics.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Integrates local Large Language Models with MCP tools for autonomous, offline AI agents callable via Python.
Locates the nearest error in JavaScript bundles (without sourcemaps) and leverages an LLM to check for codebase matches.
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