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Generates images from text prompts using OpenAI's DALL-E 3 model.
Facilitates programmatic creation and management of LinkedIn posts and profile information through an MCP server.
Enables AI assistants to programmatically control and interact with terminal applications through a Model Context Protocol server.
Unifies development best practices across multiple programming languages into a single, comprehensive Model Context Protocol (MCP) server.
Provides a comprehensive Retrieval-Augmented Generation (RAG) server, offering robust file management and vector memory capabilities for AI agents.
Provides a Model Context Protocol server for accessing MantisBT objects via its REST API.
Serves as a basic Model Context Protocol server, offering a `calculate` tool for fundamental mathematical operations.
Integrates with Beancount ledgers to provide structured tools for financial management and natural-language querying.
Provides an Elixir DSL for defining Model Context Protocol (MCP) tools, prompts, and routers.
Integrates Claude Code with Microsoft Graph to provide read-only access to M365 services including SharePoint, OneDrive, Outlook, Teams, and Calendar.
Fetches and converts official library documentation into clean, LLM-friendly Markdown using a high-performance Python server.
Explores polyglot software architecture through 307 repositories, focusing on 40+ languages, neurosymbolic AI, and formal verification.
Provides a persistent Julia REPL session via STDIO, dramatically reducing 'Time to First X' overhead for AI coding assistants.
Integrates VOICEVOX text-to-speech with Claude Code to provide audible development feedback.
Extracts relevant web page excerpts based on IR methods, providing direct evidence instead of AI-generated summaries.
Automates deep research for AI assistants by performing web searches, Reddit mining, URL scraping, and AI-powered synthesis of information.
Empowers AI agents with essential tools for managing smart accounts, facilitating payments, building reputation, discovering services, and communicating securely.
Hosts a multiplayer light-cycle game, allowing Large Language Models to compete in a virtual arena using the Model Context Protocol.
Facilitates the development of production-ready multi-agent systems and companion skills, emphasizing orchestration and integrated workflow knowledge.
Automates Vivado project workflows, enabling AI agents to manage FPGA development tasks programmatically.
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