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Builds Model Context Protocol (MCP) servers with CLI and OpenAI Agent support using a Python framework.
Enables LLM-powered clients to control a browser for automation tasks via the Model Context Protocol.
Provides Unix command documentation directly within LLM conversations.
Provides a mathematical optimization server leveraging PuLP and OR-Tools.
Facilitates the creation of MCP servers using Go.
Demonstrates a Model Context Protocol (MCP) server using `stdio` transport.
Exposes Indian stock market data through a local Model Context Protocol (MCP) server.
Enables AI agents to interact with the Binance cryptocurrency exchange through the Model Context Protocol.
Modifies files by applying block-formatted patches, enabling AI agents to make precise changes.
Bridges text-based AI models and Unreal Engine 5.5+ using the Model Context Protocol (MCP) for natural language control.
Generates a TypeScript server from an OpenAPI specification, wrapping it for use as an MCP server.
Performs basic arithmetic, power, square root, and factorial calculations.
Constructs an MCP service based on MasterGO.
Provides instructions on how to set up terminal logs, with video tutorials.
Converts text into spoken audio using OpenAI's Text-to-Speech API.
Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Facilitates structured messaging protocol implementation for seamless client-server communication, efficient data exchange, and real-time processing.
Enables bots to send JavaScript scripts directly to Adobe Illustrator for programmatic generation and result observation.
Manages Model Context Protocol (MCP) servers by facilitating installation, execution, and instance management.
Control real smart bulbs using AI assistants and voice commands via UDP network communication.
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