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Equip AI coding agents with instant, token-efficient, and accurate test coverage data from LCOV files to enhance code quality and testing efforts.
Optimizes interactions with Xcode command-line tools by intelligently summarizing outputs, caching results, and providing progressive disclosure to significantly reduce large language model token usage.
Provides intelligent text summarization capabilities to manage context window size for AI agents by summarizing outputs from various actions.
Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.
Enables interaction with the Paddle Billing API through AI assistants and AI-powered IDEs.
Empowers AI assistants to access real-time Azure retail pricing, enabling queries for VM prices, cost comparisons, and bill estimations.
Enables AI systems and developers to create, manage, and deploy Model Context Protocol (MCP) servers using natural language.
Implements a Mark3 Labs MCP server for the Nuclei vulnerability scanner.
Automates GUI testing and control using PyAutoGUI through a Model Context Protocol (MCP) server.
Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.
Enables Large Language Models to write and execute MATLAB scripts for complex computations and simulations.
Enables users to interact with various Large Language Models (LLMs) through a single chat client.
Exposes a comprehensive Model Context Protocol server for managing Sitecore instances programmatically.
Provides access to Shodan's search engine for internet-connected devices and services via a Model Context Protocol (MCP) server.
Enables interaction with the Spline 3D design tool API, facilitating scene export, model import, and animation management.
Manages and injects local AI skills (SKILL.md files) into AI prompts, optimizing for token usage and discoverability.
Automates Android devices using uiautomator2, enabling control through natural language via AI agents.
Enables users to resolve production incidents from their IDE by integrating with the Rootly API.
Provides persistent, cognitive memory for AI agents and edge devices, utilizing a 3-tier memory model, Hebbian learning, and a knowledge graph.
Enables AI assistants to interact with Mapbox developer APIs and services directly, streamlining Mapbox application development.
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