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Enables interaction with Hex projects through an MCP server.
Generates high-quality random values via a dedicated server for AI agents and various simulation needs.
Provides a curated collection of articles and guides on AI, Generative AI, and Machine Learning.
Enables querying of the PubChem database for chemical compound data and generating structure files.
Implements a full Model Context Protocol (MCP) server with Solana on-chain memory context capabilities.
Provides structured access to Aster DEX market data, including candlesticks, order books, trades, and funding rates.
Generates secure One-Time Passwords (OTP) as an MCP server.
Gathers and processes premier global AI information for integration into LLM conversations.
Orchestrates multi-tool AI agents for real-time supply chain optimization, simulating Anthropic's low-latency FastMCP system with Gemini AI.
Integrates Large Language Models with cloud infrastructure and the Model Context Protocol to enable intelligent, secure, and auditable AI agentic behavior.
Establishes a standardized protocol for managing model-context interactions in distributed applications.
Integrates video, audio, and image processing with advanced AI and MCP protocol support for intelligent, natural language-driven media content creation.
Provides intelligent, persistent memory for AI assistants like Claude Code via a self-hosted Model Context Protocol (MCP) server.
Extracts figures and tables from PDF documents through an HTTP interface powered by PDFFigures 2.0.
Provides a high-performance Model Context Protocol server for USPTO Enriched Citation API v3, enabling AI-powered data extraction and token-saving context reduction for patent research.
Aggregates and provides persistent, searchable memory across all your AI coding agent sessions in a single vector database.
Leverage AI to analyze images from URLs and generate detailed descriptions using OpenAI's vision models.
Integrates modular skill components with any Large Language Model through the Model Context Protocol.
Orchestrates interactive command-line interface agents using a tmux-backed agent pool and a Model Context Protocol (MCP) server.
Augments AI agents with critical repository history and organizational knowledge to prevent regressions and improve code modifications.
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