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Provides automated smart contract analysis, verification, and certification for Ethereum smart contracts.
Facilitates secure, end-to-end encrypted sharing of sensitive information via an MCP server.
Analyzes Icecast streaming server configurations for security, performance, and capacity planning.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single, Keycloak-authenticated endpoint.
Analyzes Maven project dependencies for vulnerabilities by integrating authoritative data sources and empowering AI assistants.
Provides a Model Context Protocol (MCP) server that enables comprehensive interaction with the JSONPlaceholder API.
Automates the detection and masking of sensitive personal data in text, ensuring compliance with Russian Law 152-FZ.
Connects AI services to the OpenSentry Command Center, providing access to camera status, detection alerts, recordings, and system health data through a standardized interface.
Integrates accessibility testing and AI-powered remediation directly into IDEs, enabling AI coding agents to find and fix web accessibility issues without disrupting development workflows.
Empowers AI agents to autonomously initiate, authorize, and settle cryptocurrency payments on the x402 protocol.
Provides permissionless wallet infrastructure for AI agents, enabling on-chain transactions and payments across EVM and Solana blockchains.
Generates code and manages development tasks through agentic AI, intelligent planning, and MCP server integration.
Provides a comprehensive, AI-searchable database of Brazilian federal laws, including LGPD, Marco Civil, cybercrime, consumer protection, telecommunications, and civil code, with Portuguese full-text search.
Stress-tests decisions by applying structured contrarian analysis to uncover blind spots and hidden assumptions.
Automates web interactions with Playwright, offering robust security features and a query-first design optimized for intelligent agents.
Orchestrates multi-agent engineering workflows for Claude Code, focusing on specification compliance and high-quality software development.
Enables AI agents to interact with terminal applications by converting raw terminal output into a structured Terminal State Tree.
Routes shell commands through a token-optimizing engine to drastically reduce LLM context window usage for any MCP-compatible client.
Secures AI coding agent secrets using quantum-inspired mechanics like superposition, entanglement, and tunneling.
Deploys AI agents with realistic user personas to validate user journeys and identify UX friction at scale.
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