Browse and discover Model Context Protocol compatible servers
Mokei is a TypeScript toolkit designed for building, managing, and observing clients and servers that utilize the Model Context Protocol (MCP) for seamless communication and interaction. Mokei is a TypeScript
Model Context Protocol (MCP) for Intelligent Data Analytics Description: In this project, I developed a smart backend architecture called MCP (Model Context Protocol) — a system designed to act as a
This repository offers a basic MCP (Multi-Client Protocol) implementation showcasing client-server communication. It includes a test script demonstrating functionalities like `call_tool()` and `read_resource()`, licensed under the MIT License.
This repository provides a Dart SDK for the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources through various transport options. This repository provides a
ai-models-catalog-api is a free, no-auth API that lists AI models usable via API from top providers like OpenAI, Google Gemini, DeepSeek, and Anthropic. Instantly access to updated model names, descri
A Model Context Protocol (MCP) server that provides AI assistants with access to Microsoft OneNote. This server enables AI models to read from and write to OneNote notebooks, sections, and pages.
This repository provides Organized AI, a TypeScript client specifically designed for interacting with and utilizing the Model Context Protocol, enabling seamless integration and communication with AI models. This repository provides
This repository provides a TypeScript MCP client for Claude AI models, enabling interaction with tools and external data through a standardized interface, requiring an Anthropic API key. This repository provides
A lightweight, configuration-driven MCP server that ingests a CSV of acronyms and initialisms to expose a lookup tool for their full meanings and descriptions.
test-description
Description of Rierino MCP Server features
A Go CLI utility that uses the Anthropic Claude API to generate shell commands based on natural language descriptions.
Hi. I don't know if anyone will read this, but I'll write a description anyway! I started my way in ML very recently and I'm learning a lot, I have a dream to create my own startup or get a job in the