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Implements a Model Context Protocol server using WebAssembly's Component Model.
Bridges AI models with Lark's collaboration platform, enabling interactions with its various capabilities.
Provides comprehensive resources for implementing Model Context Protocol (MCP) servers, specifically tailored for Cursor AI integration.
Enables web scraping, content extraction, and Google search with structured data.
Retrieves MCP servers using semantic search capabilities.
Facilitates the learning and development of MCP servers using Python.
Provides a collection of Model-Context-Protocol (MCP) server implementations and a development tutorial.
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
Enables AI models to dynamically create and execute custom tools through a meta-function architecture.
Downloads websites and their assets for use with Retrieval-Augmented Generation (RAG) systems.
Empowers large language models with a persistent, human-like memory module that integrates seamlessly outside the model itself.
Analyzes Python code using AST, stores information in Weaviate, and provides querying via an MCP server.
Enables AI assistants to interact with Ceph storage clusters through natural language.
Enables LLM applications through a YAML-based configuration system for defining resources, prompts, and tools.
Enables AI assistants to perform deep web research by combining Brave Search with Puppeteer-powered content extraction and link traversal.
Enables large language models to generate images and videos by interfacing with Alibaba's Tongyi Wanxiang AI API through the Model Context Protocol.
Control Spotify playback directly within the Cursor editor using natural language commands.
Exposes Language Server Protocol (LSP) capabilities through multilspy to provide language intelligence to language models.
Integrates Todoist with Claude, enabling natural language task management and expanded functionality through the Todoist API.
Provides a LINE-style chat interface powered by Ollama and Model Context Protocol (MCP).
Automates preliminary code feedback, including syntax checking, code explanation, and improvement suggestions, via a multi-agent system.
Enables AI models to query analytics data from the Plausible Analytics API.
Searches for papers from the American Economic Association (AEA) using Large Language Models (LLMs).
Provides text-to-speech and speech-to-text capabilities using Windows' built-in speech services.
Enables Google searches and web content viewing with bot detection avoidance within MCP environments.
Monitor Solana wallets and check market indicators using AI and Model Context Protocol (MCP).
Gathers and processes premier global AI information for integration into LLM conversations.
Enables AI assistants to monitor and manage Java applications via JMX through natural language, providing real-time MBean discovery and operation execution.
Enables conversational AI clients to analyze network traffic data using the Zeek network security monitoring engine.
Augments AI model responses with real-time search results via the Higress ai-search plugin.
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