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MCP Servers

🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.

This repository demonstrates how to secure a Model Context Protocol (MCP) server using OAuth 2.1 authorization flows, implemented entirely with Node.js and Express.js.

The Render MCP Server is a Model Context Protocol (MCP) server that allows you to interact with your Render resources via LLMs.

This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP[^1] server features.

The Weaviate Model Context Protocol (MCP) server is now built into Weaviate itself — there is nothing to install or run separately.

The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2.

This project provides a Model Context Protocol (MCP) server for interacting with the Google Slides API. It allows you to create, read, and modify Google Slides presentations programmatically.

MCP is an in-image Model Context Protocol server for Pharo. It lets MCP clients inspect and change the running image through Pharo-aware tools for packages, classes, methods, tests, repositories,...

Welcome to the Essential MCP workspace! This is where Hue and Aye collaborate to create amazing MCP implementations.

A collection of Model Context Protocol (MCP) servers for integrating with various IT service management and remote monitoring platforms.

Azure API Management acts as the AI Gateway for MCP servers.

A server that ingests and serves Swagger/OpenAPI specifications through the Model Context Protocol (MCP).
