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Empowers AI assistants with human-like memory dynamics by integrating temporal decay, reinforcement learning, and a two-layer memory architecture.
Provides functionality to interact with Douban content, including books, movies, TV series, and group discussions, via a standardized server.
Enables Mistral AI models to interact with external tools and data sources through the Model Context Protocol (MCP).
Facilitates genomic variant analysis by exposing Variant Calling Format (VCF) files to Large Language Model (LLM) agents.
Enables large language models to efficiently edit I18Next and other JSON files using natural language commands.
Deploys an MCP server and integrates it with Microsoft Copilot Studio for enhanced AI model context.
Provides a Model Context Protocol server, enabling large language models to interact comprehensively with the JSR (JavaScript Registry) API.
Compiles Manim code into animations and serves them via an API, supporting various clients and integrations.
Provides Metal Framework documentation search and code generation capabilities via the MCP protocol.
Indexes local documents and runs Retrieval Augmented Generation (RAG) search to provide context for AI tools.
Provides datetime-related functionalities with timezone support for Langflow.
Provides an auto-generated Model Context Protocol (MCP) server for interacting with the Giphy API.
Provides a curated collection of tools categorized for various server-related tasks.
Provides a starter template for building Model Context Protocol (MCP) servers for AI assistants.
Automatically analyzes and dispatches diverse tasks, including development and article writing, to appropriate handlers for efficient processing.
Manages secure tunnels to expose local servers to the internet via an AI assistant.
Extracts YouTube video IDs and fetches video transcripts programmatically.
Implements a server and client architecture to explore and test the MCP concept, leveraging Node.js, TypeScript, and Gemini AI capabilities.
Establishes a Model Context Protocol server to integrate AI tools with ServiceNow instances.
Retrieves user geolocation information via EdgeOne Pages Functions and integrates it with large language models through the Model Context Protocol (MCP).
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