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Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).
Control a browser through an LLM using Scrappey's web automation and scraping capabilities.
Enables managing GitHub repositories through natural language commands.
Monitors the status of Minecraft Bedrock and Java servers via a headless setup with an HTTP JSON API.
Generates PowerPoint presentations for Model Context Protocol (MCP) using Bun.
Provides a structured foundation for leveraging Cursor AI's advanced features, including Single Source of Truth (SSOT), project rules, and Model Context Protocol (MCP), within software projects.
Interfaces with FHIR servers to retrieve healthcare data using natural language queries.
Generates high-quality images in various artistic styles using automatically selected LoRA models.
Automates email sending and Google Calendar event creation using natural language prompts.
Integrates Spring AI with Ollama through a REST API.
Offers fundamental mathematical operations, such as addition and subtraction, to integrate with AI clients via a Model Context Protocol server.
Searches and retrieves academic papers from major databases like arXiv and DBLP, providing detailed information and PDF download links.
Provides asynchronous capabilities for generating and managing research ideas through a Celery-backed task system.
Orchestrates a full-stack AI agent system that interprets natural language commands to intelligently route tasks to specialized tools like filesystem, browser, and GitHub.
Integrates the ClickUp API through the Model Context Protocol, enabling interaction with ClickUp tasks and lists via standardized MCP tools.
Enables safe, read-optimized access to SQL Server databases for AI assistants through the Model Context Protocol.
Enables AI agents to execute TypeScript code with access to modular APIs defined in local skills directories.
Intelligently extracts, processes, and converts logos from website URLs, offering advanced image manipulation and vectorization capabilities.
Enables AI agents to access comprehensive Twitter/X data, including user profiles, tweets, trends, and communities, via the Model Context Protocol.
Integrates AI assistants with Azure Updates, enabling natural language queries to search and filter service announcements, feature releases, and retirement notices.
Provides AI coding agents with structurally precise code subgraphs from a local-first, graph-based context manager, enabling deep code intelligence.
Provides a suite of reusable servers and utilities for web search, data extraction, and future integrations.
Unifies scattered MCP servers into a single platform, enabling AI agents to access unlimited tools through one endpoint without complex configuration.
Performs offline network packet analysis, dissecting protocols and offering LLM-driven insights through an integrated MCP server.
Empowers AI agents to manage and move real USDC funds on Solana, facilitating payments, invoicing, and secure financial transactions.
Discover and retrieve detailed information on AI agents, MCP servers, CLI tools, and agent skills from the A2ASearch directory.
Exposes petroleum engineering data and tools to Large Language Models (LLMs) for natural language interaction.
Routes API requests for AI agents to the optimal provider based on cost, quality, and latency, while providing comprehensive cost visibility.
Provides self-learning memory for AI coding agents by observing patterns and promoting them into suggestions for improved behavior.
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