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Interfaces with the Ramp API to allow access to Ramp data from any MCP client.
Automates Lens Desktop with screenshot capture and console log monitoring.
Proxies requests to the Google Programmable Search Engine, providing caching, rate-limiting, and metrics.
Exposes an external API as a tool compatible with Claude Desktop or ChatGPT Desktop using the Model Context Protocol (MCP).
Executes code within a Node.js container and retrieves the result.
Offers a collection of tools spanning various categories like browser automation, design, and developer tools.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Facilitates the deployment and integration of a Model Context Protocol (MCP) server, enabling enhanced AI model capabilities within Microsoft Copilot Studio.
Provides comprehensive sound playback capabilities for macOS, enabling AI assistants and other MCP clients to play system sounds, text-to-speech, and custom audio files.
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
Facilitates secure and contextual access for AI models to external tools and data, demonstrated through an AI-powered resume scoring application.
Delivers Stackpress-specific context to AI utilities for improved understanding and responses.
Integrates multiple AI models to provide comprehensive and senior-level code reviews within Claude Code, automatically identifying bugs, security issues, and design flaws.
Manages Claude Code configuration and enhances its cross-session memory with an intelligent Luoshu system.
Enables Large Language Model clients to discover and invoke capabilities on user-owned devices through a Supabase-hosted remote Model Context Protocol (MCP) server.
Provides accurate time information and timezone conversions using IANA timezone names, with support for automatic system timezone detection.
Manage Databricks jobs, Delta Live Tables pipelines, and Unity Catalog metadata directly within VS Code Copilot agent mode.
Enables AI clients to create Wix websites from natural language prompts using backend MCP tools.
Streamlines embedded development for the AMB82 Mini (RTL8735B) board by providing AI-integrated tools for documentation, compilation, and firmware upload.
Generates realistic, relational synthetic test data for any database schema via an API.
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