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Enables remote control of smart home devices via an MCP server, leveraging Home Assistant as a bridge.
Provides call graph analysis capabilities to LLMs through a Model Context Protocol (MCP) server.
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
Enables web search and intelligent browsing through an MCP server, integrating powerful LLM capabilities for content understanding.
Enhances LLM reasoning by transforming standard prompts into Chain-of-Draft or Chain-of-Thought formats, supporting various LLMs.
Enables Large Language Models to interact with and manage data stored in Amazon S3.
Generates AI images using Stable Diffusion models and integrates with development environments via the Model Control Protocol (MCP).
Orchestrates AI image generation workflows with human-in-the-loop feedback using LangGraph and the Model Context Protocol.
Enables integration with Adyen APIs through large language model (LLM) function calling using a standardized protocol.
Provides semantic analysis of C++ codebases using libclang, enabling AI models to understand code structure.
Serves as an MCP server for Apache Doris and VeloDB, enabling model context protocol interactions.
Provides access to Yale's PopHIVE public health data through a Model Context Protocol (MCP) server, offering near real-time health surveillance information.
Integrates Hacker News with LLM clients like Cursor and Claude through the Model Context Protocol.
Enables Claude Code to consult with multiple AI agents for enhanced code analysis and problem-solving.
Manages and automates operations with Google Sheets and Google Forms.
Enables persistent knowledge storage for Claude through a knowledge graph with multiple storage backends.
Enhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
Provides cryptocurrency data, analytics, and insights through function calling, enabling AI assistants and agents to access real-time crypto market data.
Enables searching and retrieving research papers from various academic sources via a Model Context Protocol (MCP) server.
Simplifies AI agent development through a Docker-like interface for building, managing, and deploying agents using the Model Context Protocol.
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