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Provides reference implementations for Model Context Protocol (MCP) servers, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.
Provides access to current trending news headlines and detailed content for use by Large Language Models.
Enables AI assistants to query information about internet-connected devices and services using the Hunter API.
Exposes JSON data as a read-only Model Context Protocol (MCP) server for querying by Large Language Models.
Enables querying of live Oracle data from LLMs like Claude Desktop using natural language through a read-only MCP interface.
Empowers developers with AI capabilities to ask questions, generate, debug, and refactor code directly within their terminal or editor.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Transforms a Zuora OpenAPI specification into a Model Context Protocol (MCP) server for streamlined API interaction.
Provides real-time information and trip planning for the Washington, DC Metro system through natural language queries.
Enables Large Language Models to control smart home devices using natural language commands.
Enables AI clients to perform advanced Google Custom Searches, extract web content, and conduct specialized research.
Integrates Tesseract OCR functionality as a Model Context Protocol server for efficient text extraction from images and PDFs.
Facilitates confidential AI computing and TEE infrastructure on the Phala Network as a production-ready Model Context Protocol server.
Provides a headless integrated development environment for AI agents.
Facilitates cross-browser tab grouping through a secure server and an optional machine learning microservice for enhanced organization.
Indexes local documents and runs Retrieval Augmented Generation (RAG) search to provide context for AI tools.
Manages an art supply store business with 36 integrated tools for inventory, customer relations, finances, classes, analytics, marketing, and social media.
Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
Provides a production-ready server for Pokémon Model Context Protocol (MCP) tools, featuring secure deployment, authentication, and comprehensive monitoring.
Connects AI agents to the Somnia blockchain network using the Model Context Protocol.
Provides access to PrimeVue documentation through a Model Context Protocol server.
Automates the entire lifecycle of documentation, including creation, maintenance, quality assessment, and synchronization for software projects.
Identifies spam packages on Python's registry using machine learning.
Generates semantic class names for CSS using AI, streamlining development, optimizing AI output, and enhancing SSR safety with support for popular frameworks.
Empower AI assistants with deep code analysis capabilities for test generation, security audits, and refactoring suggestions.
Enables AI assistants to access a database of human-curated content recommendations.
Prevents AI coding agents from hallucinating outdated model names by providing instant access to accurate API model IDs, pricing, and specifications for over 46 models across 7 providers.
Enables secure, read-only SSH access for AI agents and other programs to audit servers, run diagnostics, and inspect logs without risking data changes.
Facilitates real-time communication and structured collaboration for AI agents by providing a central hub for message exchange and conversation management.
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