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Demonstrates intelligent AI agent implementation, interacting with custom tools and databases via the Model Context Protocol for natural language expense management.
Connects LLM agents to BACnet devices in a secure, standardized way.
Manages AI prompts, converting them into reusable tools for MCP clients.
Provides an efficient way to transfer your project's code context into Large Language Models, respecting common ignore rules and handling large codebases.
Provides a Model Context Protocol server for querying, searching, and retrieving comprehensive details on MITRE ATT&CK adversarial tactics, techniques, mitigations, and detections.
Facilitates structured logging of Agentic AI calls to MCP servers, enabling continuous security monitoring and automated remediation.
Facilitates in-depth analysis of scientific papers by providing local PDF parsing, mathematical formula explanation, code generation, and intelligent reporting.
Integrates local Gemini and Qwen multimodal command-line interfaces into a unified Model Context Protocol tool, enabling text-only models to access vision capabilities.
Manage tasks and projects using a command-line kanban board with integrated AI assistance.
Enables local Chrome/Chromium tab automation for OpenCode clients by relaying Chrome DevTools Protocol commands without remote debugging.
Manage remote terminals with ease using this simple and configurable server.
Enables language models to interact with SuzieQ network observability instances via its REST API.
Integrates Lokalise's localization platform with AI assistants like Claude, enabling project, key, and translation management through natural chat.
Enables users to create, manage, and serve web applications that leverage Goose for API calls and data access.
Provides detailed character analysis for text, including counting total characters, letters, numbers, and symbols.
Provides a server for searching and exploring Swift Package Manager dependencies within Xcode and SPM projects.
Exposes Node.js functions to AI agents via the Model Context Protocol (MCP) using JSON-RPC 2.0 over STDIO.
Provides enhanced Google search capabilities with advanced anonymization and anti-detection features via a Model Context Protocol server.
Delivers real-time system metrics including CPU, memory, disk, network, and process information through a standardized Model Context Protocol interface.
Provides queryable access to FedRAMP 20x security requirements and controls with integrated Azure-first implementation guidance.
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