TypeScript toolkit for creating, interacting and monitoring clients and servers using the Model Context Protocol

The MCP Docs Server is a Node.js implementation of a Model Context Protocol (MCP) server that provides a powerful tool to search and retrieve up-to-date documentation snippets from popular AI/ML libraries. It leverages the Serper API to perform Google searches restricted to specific documentation domains, extracts meaningful content using web

The Fictional Cats MCP (Model Context Protocol) provides AI models with the ability to access and retrieve fictional cat data. This MCP allows models to either get a random cat or retrieve a specified number of cats from the Fictional Cats API.

A custom MCP server written in C++.

Collection of my custom mcp server tools

🛡️ Analyze transactions for fraud using advanced models and tools, providing insights and risk scores to enhance investigation efficiency.

GitHub Actions Model Context Protocol Server that allows you to create, manage, monitor, and interact with workflows.

A powerful AI agents platform that enables automated interactions with various services and APIs, including web browsing, stock market data retrieval, and more.

Define, Prompt and Test MCP enabled Agents and Workflows

LLMエージェントになりきって、MCPサーバーから取得したツールを自力で使うことができます。

A MCP server and an extension for loilonote

A service that automatically collects API documentation, processes it through AI, and provides it to your coding tools to make development faster and easier.

Server and Client AMQP Transport libraries for Model Context Protocol (MCP) Servers and Clients

This is a comprehensive high-level and low-level design for your MCP-based SaaS B2B platform using the technologies you've specified.

KOTA Template

Demonstrates Model Context Protocol (MCP) for conversational AI. Shows how to build natural language interfaces for database operations using NestJS, MongoDB, and OpenAI. Includes RAG integration and automated task execution through chat.

Experimental command-line interface for interacting with the Model Context Protocol (MCP) Registry Service.

A lightweight, Spring Boot–friendly plugin framework** to orchestrate complex AI workflows — integrating multiple LLMs, tools, and [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) services with zero boilerplate

Create and connect MCP servers to your favorite AI clients - no complex setup required!

A real-time multilingual translation application where users can speak or type to get instant translations along with audio outcome. Built using Flask, Streamlit, and used OpenAI API for translation, it supports 20+ languages and follows an standard server design to handle translation and speech as modular tools.