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Enables AI models to interact with MySQL databases through a standardized interface.
Provides a starter template for building Model Context Protocol (MCP) servers using TypeScript.
Enables AI models to connect to ESP32 exposed interfaces using a Model Context Protocol (MCP) implementation.
Automates browser interactions and provides web interaction capabilities for applications using the Rod browser automation framework.
Integrates Neovim instances with AI assistants via a Model Context Protocol (MCP) server, enabling interactive control and access to diagnostic information.
Enables AI assistants to deeply understand .NET codebases through the Model Context Protocol.
Analyzes performance through a dual-perspective actor-critic methodology using the Model Context Protocol (MCP).
Generates architectural diagrams from text descriptions or GitHub repositories using Mermaid syntax.
Enables object detection, segmentation, classification, and real-time camera analysis within Claude AI using YOLO models.
Transforms AI assistants into comprehensive knowledge management systems by unifying Elasticsearch search, file operations, document validation, and version control.
Provides a comprehensive Message Control Protocol (MCP) server for managing Kafka Schema Registry operations.
Enables interaction between web pages and a local server by establishing a WebSocket connection, allowing access to browser APIs and DOM elements.
Scrapes and parses results from public SearXNG instances into a JSON format.
Enables AI assistants to perform privacy-respecting web searches using SearXNG.
Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).
Provides direct, real-time access to a user's browser tab content for AI agents and applications, specifically optimized for token efficiency.
Enables Cheat Engine-like memory manipulation for MCP.
Exposes file system operations as tools, enabling AI agents to interact with files and directories in a secure and platform-agnostic manner.
Integrates GitHub Enterprise with AI tools via the Model Context Protocol (MCP).
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.
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