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Provides a proof-of-concept implementation for building Model Context Protocol (MCP) servers on top of Uber Eats.
Enables image generation and editing within MCP-compatible clients using OpenAI's GPT-4o/gpt-image-1 APIs.
Implements a basic Model Context Protocol (MCP) server in TypeScript, following official specifications and best practices.
Provides current city weather data through a minimalist Model Context Protocol (MCP) server, serving as an example for LLM-tool communication.
Execute terminal commands and manage files across local, SSH, and GitHub environments.
Provides a comprehensive server wrapper for NameSilo's 81 API methods, simplifying programmatic interaction.
Retrieves YouTube video transcripts for integration with AI assistants and other applications.
Establishes a clean, fast, and reliable communication bridge between the Kiro IDE and Amazon Q Developer for enhanced AI-driven development.
Provides a Model Context Protocol server offering tools, resources, and prompts for greeting, math operations, user management, and system monitoring.
Exposes runtime MCP Server vulnerabilities related to GitHub and Linear integrations.
Provides a basic HTTP endpoint for the Claude Desktop Micro-Agent Protocol (MCP), returning a predefined response to a specific command.
Analyzes forensic evidence to identify people and their connections, generating Python code for network visualization.
Enables AI assistants to control a web browser for various automation tasks.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Connects Large Language Models like Claude to EVM and Solana chains, enabling interactions with blockchain data and transactions.
Enables large language models to control WiZ smart lights through a Model Context Protocol (MCP) server.
Orchestrates multiple MCP services by positioning Llama Maverick as the central AI brain for intelligent management and request routing.
Connects AI assistants to Discord, enabling structured interaction with the Discord API through a Model Context Protocol server.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers, enabling external AI clients to access custom tools.
Provides a command-line interface for scaffolding and managing MCP HexLayer Architecture server projects.
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