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Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.
Provides intelligent code analysis, validation, and documentation for Zig, leveraging a fine-tuned LLM and the official Zig compiler.
Facilitates AI-assisted cybersecurity research, scanning, and analysis by connecting AI assistants to security tools through the Model Context Protocol (MCP).
Enables AI agents to efficiently manage Subversion (SVN) repositories through a comprehensive Model Context Protocol server.
Empower AI systems with comprehensive web crawling, scraping, and search functionalities through a standardized interface.
Augments Claude Code with project memory, intelligent task routing, and expert responses for software development workflows.
Enables Claude AI to interact with and manage Prometheus Alertmanager alerts through a Model Context Protocol (MCP) server.
Simplifies the creation of Model Context Protocol (MCP) clients and servers in JavaScript, focusing on Server-Sent Events (SSE) communication.
Provides local implementations of various crypto data APIs for use with other applications.
Facilitates real-time control and monitoring of Tesla vehicles through an MCP server interface, leveraging the Tessie API.
Manages and automates interactions with Nature Remo devices through an MCP server.
Provides secure access to SvelteKit and Tailwind CSS documentation and code snippets to assist developers in building applications.
Enables programmatic control of Minecraft Bedrock and Education Editions through a WebSocket-based Model Context Protocol (MCP) server written in TypeScript.
Consolidates Notion's REST API into 7 intuitive, composite operations optimized for AI agents.
Proxies Feishu bots through an MCP server, enabling LLM-powered interaction with Feishu via tools like Cursor or Claude.
Enables AI assistants to interact with the Sentry API for error data retrieval, project management, and performance monitoring.
Provides AI assistants with programmatic control over Hoverfly for dynamic API mocking and simulation.
Serves up context for dev tools by fetching content from documentation sources.
Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.
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